Resources
From podcasts to how-to guides, white papers and videos, find what you need below.
Real-time game telemetry at 2k Games using AWS and Rockset
In this webinar, Sanju Sriram at 2K Games, Andrei Muratov at AWS and Rockset discuss architectures and best practices for real-time game telemetry.
How We Built Vector Search in the Cloud
In this talk, Chief Architect Tudor Bosman and engineer Daniel Latta-Lin share how they built a distributed similarity index using FAISS-IVF that is memory-efficient and supports immediate insertion and recall.
Geospatial Search in Rockset
Learn the robust geospatial capabilities in Rockset in this hands-on workshop.
5 Steps for Migrating from Elasticsearch to Rockset for Search and Analytics
Hear real life examples of customers who have made the migration from Elasticsearch to Rockset and leave with a better understanding of the process.
Deliver Better Product Recommendations with Real-Time AI & Vector Search
See a live demo of real-time product listings and OpenAI generated embeddings stream through Confluent Cloud into Rockset to be indexed for similarity search.
Real-time search, filtering and aggregation on DynamoDB using Rockset
In this tech talk, John Terhune, Sr. Solutions Architect, AWS and Dhruba Borthakur, Co-founder and CTO of Rockset will talk about using Rockset with DynamoDB.
How Rockset Isolates Streaming Ingest and Queries
In this talk, we present a real-time analytics architecture implemented in the Rockset database that effectively isolates streaming data ingestion from query serving.
Real-Time Analytics at Meta: Tracking PyTorch Continuous Integration for Developer-Facing Dashboards
The PyTorch Continuous Integration system, managed by Meta, runs 300M+ tests daily to validate code changes. Learn how Meta uses Rockset to track real-time stats to monitor the health of the CI system and the greenness of each change.
Emerging Architectures for Real-Time Change Data Capture (CDC)
Shruti Bhat, Rockset CPO, shares emerging architectures, common use cases and best practices from working with our customers and CDC partners.
9 Lessons Learned Scaling Elasticsearch for Real-Time Analytics
We capture 9 lessons learned from engineering leaders who have scaled Elasticsearch for real-time analytics.
Live Office Hours: Architecting High Availability on Rockset
Join Nadine and David for a live office hour session on how to architect for HA on Rockset.
Rockset Podcast Episode 13: Data Engineering & Data Science Trends
Seattle Data Guy sits with the Rockset podcast team, sharing his thoughts on data engineering and data science trends, tools and future expectations.
17 New Things Every Modern Data Engineer Should Know in 2022
We asked thought leaders in our industry to ponder what they believe will be the new ideas that will influence or change the way we do things in the coming year. Here are their contributions.
Live Office Hours: How to setup up monitoring and alerting for mission-critical apps on Rockset
Join Nadine and Tyler for a live office hour session on how to setup up monitoring and alerting for mission-critical apps on Rockset.
Rockset Performance Evaluation on the Star Schema Benchmark (April 2022)
We evaluated Rockset's query performance on the SSB. Rockset was able to execute the entire suite of 13 queries in under 664 milliseconds.
Hashmap Podcast Episode #104 - Making Real Time a Reality with Venkat Venkataramani, Co-Founder and CEO at Rockset
On this episode of Hashmap on Tap, host Kelly Kohlleffel is joined by Venkat Venkataramani. Venkat is Co-Founder and CEO at Rockset, a real-time analytics database company that serves low latency, high concurrency analytical queries at cloud scale. Prior to starting Rockset, Venkat spent 8 years with Facebook where he led the engineering teams that built Facebook's online data systems.
Compute-Compute Separation: A New Cloud Architecture for Real-Time Analytics
Rockset is the first and only database to separate both compute-storage and compute-compute, making real-time analytics more affordable and accessible than ever before. With compute-compute separation in the cloud, users can allocate multiple, isolated clusters for processing ingest compute or query compute while sharing the same real-time data.
Real-Time Analytics for Modern Data Apps
Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh examine the sea change in Analytics. He'll be briefed by Shruti Bhat of Rockset, who will demonstrate how their platform organizes data in a Converged Index for sub-second SQL queries on data 1-2 seconds old. The result is a real-time analytics platform that eliminates the cost and complexity of developing modern data apps.
Live Office Hours: How to optimize query latency with SQL performance tuning
Join Nadine and David for a live office hour session on how to optimize query latency with SQL performance tuning
Live Office Hours: How to optimize cost and query latency with SQL transformations and rollups
Join Tyler and Nadine for a live office hours session on how to optimize cost and query latency with SQL transformations and rollups.
Rockset Podcast Episode 12: Building vs Buying Real-Time Analytics
Compute costs are growing, storage has limitations, and the ability to scale is dependent on a lot of factors. Jared Rosoff, Director of Product Management at Google, talks with us about challenges like latency and trying to query transactional databases in real time. He discusses investing in real-time analytics by building the system or buying the technology.
Past: Live AWS Rockset Workshop
Join the AWS-Rockset joint workshop to build real-time dashboards using DynamoDB, Rockset and Grafana.
Modern Real-Time Data Stack: Emerging Cloud Architectures for Streaming Data Analytics
Join us for a talk on the modern real-time data stack that digital disrupters are using to transform the user experience.
Designing the Next Generation of Data Systems for Real-Time Analytics
In this webinar alongside The Hive, Dhruba talks about the technical requirements of cutting-edge systems including the ability to handle high-velocity streaming data from event streams and constantly changing data from database CDC. Join the talk and learn the attributes of the systems behind the next wave of digital disrupters including the ability to handle bursty data, complex analytics, and have flexible schemas.
How E-Learning Platform, Seesaw, Scaled 10x During Shutdown with Rockset & Hightouch
Learn how Seesaw operationalized their business by bringing real-time analytics into business applications, enabling their team to scale 10x during the COVID pandemic.
Rockset Podcast Episode 11: Varying Degrees of Real-Time Analytics
What action are you taking from the data? This is the central question that Michel Tricot asks teams to guide their latency requirements. At Airbyte, Michel is giving companies the choice around how real-time they want their data, regardless of the data source, and making it easy to access data for analytics.
How We Built SQL Rollups on Streaming Data
Rollups in Rockset pre-aggregate streaming data at ingest time. Learn how we built SQL rollups to support exactly-once write semantics and process out-of-order arrivals correctly.
dbt and Rockset Office Hours
Join us at office hours where we’ll showcase the dbt-Rockset adapter, making it easy to transform data in real-time using dbt.
Think You Know SQL? 3 Common Misconceptions About SQL Databases, Speed and Scale
In this talk, we’ll discuss how modern SQL databases can be well-suited to handling real-time data streams, combining the benefits of NoSQL with the ease of SQL.
Rockset Podcast Episode 10: Self-service data analytics with Grafbase CEO, Fredrik Bjork
Fredrik Bjork has traversed the data space, creating a gaming social network, scaling the RealReal's marketplace and now investing in the data startups. Hear how the data experience has changed with each endeavor and what trends he's must bullish on in this podcast.
Rockset vs Apache Druid for Real-Time Analytics
Rockset and Apache Druid are real-time analytics solutions commonly used with streaming data. Learn how they differ in their architecture and operations.
Rockset Podcast Episode 9: Data Analytics and Modeling with Connectly CTO
Yandong Liu, the co-founder and CTO of Connectly.ai discusses data analytics and modeling, the importance of semi-structured data when dealing with streaming events, data reliability, deploying good data modeling into production and investing in data infrastructure.
Dhruba Borthakur on Embedding Real-time Analytics in Applications
Dhruba Borthakur, CTO and co-founder of Rockset, discusses the core requirements of real-time analytics, how it differs from traditional analytics, and the use cases that benefit from it.
dbt Podcast - The Future of Analytics Engineering Episode 2 - Venkat Venkataramani of Rockset on the Future of Real-time Analytics
Step with Venkat into a world where data is always fresh, queries run in 1ms, and analytics engineers build web-scale, real-time data apps.
Powering Real-Time Analytics with Apache Kafka and Rockset
How do you use Apache Kafka and Rockset to perform complex joins, search, and aggregations on streaming data with low latencies? Join Dhruba and Tim Berglund of Confluent on the #StreamingAudio podcast to learn more.
Rockset Podcast Episode 8: Top data trends with Ben Lorica
Ben Lorica and Dhruba talk about top data trends that Data Officers, Scientists and CTOs are investigating and planning around, data OPS in ML and AI and Gradient Flow.
Rockset Podcast Episode 7: Real Time Analytics for Data Applications
Modernizing Data stacks and becoming more data informed, listen to James Mayfield of Transform (previously Facebook and AirBnB) talk about enabling data applications with real-time analytics.
Rockset Podcast Episode 6: Real Time Analytics in Cybersecurity
Dive into the world of security real-time analytics in security with the director of data engineering and data science at Picnic Score. Glean insights into extended detection response, streaming analytics, social engineering and more.
Rockset Podcast Episode 5: Real Time Analytics In Retail
Kshitij Kumar, the 1st Chief Data Officer at Farfetch, talks about data culture, the shift from cloud to serverless, and the different types of real-time analytics.
7 Reference Architectures for Real-Time Analytics
We’re introducing 7 new data stacks for real-time analytics that are built for speed, scale and simplicity.
Rockset Podcast Episode 4: Pain Points of Real-Time Analytics Systems
Hear from Uber infrastructure and data specialist Zheng Shao, (ex, Yahoo, Facebook, Dropbox) who has designed multiple real-time analytics systems in the past.
Serverless Real-Time Analytics Using Amazon DynamoDB and Rockset
We’re talking serverless stacks for real-time analytics with AWS Sr. Practice Manager Rick Houlihan and Rockset Solution Architect David Brown.
Scaling MySQL for Analytical Workloads
To scale analytical workloads on MySQL, we can use Rockset as an external index on MySQL data.
Rockset Podcast Episode 3: SaaS Real Time Analytics
In Episode 3, we connect with Ali Dasdan, Head of Engineering for Confluence Cloud at Atlassian. We talk about his expanse of knowledge in real-time analytics.
Real-Time Analytics: Why It Matters & Why It’s Hard
In this whitepaper, we’ll share how industries are realizing the need for real-time analytics but facing data and operational challenges that impede implementation.
Snowflake With Rockset: How to Use Indexing For Sub-Second Queries
User-facing analytics requires low-latency, high-concurrency queries that are hard to achieve on Snowflake. Learn how development teams accelerate their apps by indexing Snowflake data in Rockset.
Why You Shouldn’t Build Apps on Data Warehouses
In this talk, we explore several considerations that make it challenging to build apps on data warehouses: query performance, freshness of data and compute cost.
Increasing the ROI of Real-Time Analytics
Learn how engineering teams are increasing their ROI with a real-time analytics solution designed for low latency, data flexibility and minimal operations.
Rockset Podcast Episode 2: Logistics SaaS Real-Time Analytics
TruckX’s Founder Tapan Chaudhari walks through his hardware and software platform that helps trucking companies’ and fleet managers better track their assets.
Rockset Podcast Episode 1: Security SaaS Real-Time Analytics
With Dhruba Borkathur, Rockset CTO & Co-Founder and guest Deb Banjeree, Co-founder and CTO at Anvilogic, an Automated Detection Platform company
Building Real-Time Search in Your App: Beyond Text Search and Elasticsearch
The ability to support many different types of queries without having to reshape your data is particularly helpful when building real-time search and analytics. We compare how using Elasticsearch and Rockset impacts the query flexibility you have.
Rockset Concepts, Design & Architecture
This document describes the architecture of Rockset and the design choices and innovations which enable it to produce highly efficient execution of complex distributed queries across diverse data sets.
Rockset Security Design
Security is important to Rockset and taken very seriously. This document describes the current state of security of Rockset.
Evaluating Data Latency for Real-Time Databases
RockBench is a benchmark designed to measure the data latency of a real-time database. This paper describes RockBench in detail and the results from running the benchmark on Rockset, a real-time indexing database.
Rockset Performance Evaluation on the Star Schema Benchmark
We evaluate Rockset’s ability to support real-time analytics by measuring its query performance on the Star Schema Benchmark.
How 3 SaaS Companies Built Real-Time Analytics
We highlight the key considerations for three SaaS companies implementing real-time analytics at scale.
Reimagining Real-Time Analytics in the Cloud
Rockset co-founders Venkat Venkataramani and Dhruba Borthakur share the trends they are seeing in the market and their vision for a real-time cloud data stack.
Real-Time Analytics at Speed and Scale: When Managing Elasticsearch Gets Too Hard
In this tech talk, we assess Elasticsearch and Rockset for real-time analytics on real-time ingest, data flexibility and scalability.
Real-Time Analytics on MongoDB: The Ultimate Guide
In this eBook, we have compiled a series of blogs into a single resource—a developer’s ultimate guide to evaluating the various options for real-time analytics on MongoDB.
Real-time Analytics on DynamoDB: The Ultimate Guide
In this ebook, we discuss the analytical query performance of DynamoDB and compare different options for ETL and analytics tools including Athena, Hive/Spark, Elasticsearch, ElasticCache for Redis, and more.
How We Scaled It: Facebook's Online Data Infrastructure to 1B+ Users
An inside look into building massively scalable online infrastructure at Facebook.
Real-Time Analytics on Data Lakes
In this talk, Rockset Co-founder and CTO Dhruba Borthakur explains how real-time indexing on data lakes provides up to 125X faster queries than Athena.
Future of Real-time Analytics
In this whitepaper, we’re sharing the 5 key principles for real-time analytics of the future.
Scaling Real-time Gaming Leaderboards for Millions of Players
A tech talk on the growing need for real-time leaderboards that can handle user activity at massive scale and real-time aggregations and joins.
Running Real-time A/B Experiments at Massive Scale
In this talk, Rockset Co-founder and CEO Venkat Venkataramani will cover the changing face of real-time analytics and what that means for the data stack.
Elasticsearch v. Rockset Whitepaper
Rockset's Converged Index™ enables faster time to market and up to 50% lower TCO as compared to Elasticsearch’s search index, for real-time analytics use cases. This is achieved by optimizing for hardware and developer efficiency in the cloud.
Serverless Real-time Indexing: A Low Ops Alternative to Elasticsearch
In this talk, we compare and contrast Elasticsearch and Rockset as indexing data stores for serving low latency queries.
Designing a Real-Time ETA Prediction System Using Kafka, DynamoDB and Rockset
Generate ETA predictions for a delivery service using real-time location and order data from Kafka and DynamoDB.
Scaling MongoDB: Best Practices for Sharding, Indexing and Performance Isolation
A tech talk on how organizations tackle the challenges of sharding, indexing and offloading queries to scale MongoDB
Real-Time Recommendations for Event Ticketing Using MongoDB and Rockset
Implementing a real-time recommendations API for an event ticketing system by indexing MongoDB data in Rockset for fast SQL.
Create APIs for Aggregations and Joins on MongoDB in Under 15 minutes
Build a Python application to create and execute APIs on aggregations and joins using Rockset and MongoDB.
Using MongoDB Change Streams for Indexing with Elasticsearch vs Rockset
Learn how Rockset indexes data from MongoDB change data capture (CDC) streams and how it compares to indexing in Elasticsearch.
Understanding Rockset
A guide to help you understand how Rockset works including the basics of integrating data sources, creating collections, running SQL queries and building real-time applications.
Query Performance Assessment
An inside look into the performance of Rockset, illustrating real-world numbers for what you can expect when querying data in Rockset.
How Standard Cognition Builds AI-powered Autonomous Checkout on Computer Vision Data
A tech talk on building real-time applications on computer vision data with customer Standard Cognition
How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka
We discuss when stream processing, with KSQL and Kafka Streams, and when a real-time database like Rockset are best used for analyzing Kafka data.
Where's My Tesla? Creating a Data API Using Kafka, Rockset and Postman to Find Out
We demonstrate how to expose real-time IoT data in Kafka through the Rockset REST API in this example.
SQL on NoSQL - Enabling Real-Time Analytics on DynamoDB
This tech talk covers how change data capture with DynamoDB Streams can be used to enable complex queries for analytics.
Real-Time Analytics on Connected Car IoT Data Streams from Apache Kafka
In this IoT example, we examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors.
Balancing Coding And Management With Dhruba Borthakur
Dhruba shares his experience as Rockset CTO and how he still finds time to write code in addition to building a strong technical team.
SQL API for Real-Time Kafka Analytics in 3 Steps
Learn how to create a SQL API for real-time Kafka analytics on the Twitter Streaming API, using AWS Lambda and Rockset.
Best Practices for Analyzing Kafka Event Streams
Dhruba Borthakur discusses various design patterns for building analytics on Kafka event streams in this tech talk.
Analytics on Kafka Event Streams Using Druid, Elasticsearch and Rockset
We examine how different data backends - Druid, Elasticsearch and Rockset - can be used alongside Kafka for analytics on event data streams.
Using Tableau with Kafka: How to Build a Real-Time SQL Dashboard on Streaming Data
Build a real-time Tableau dashboard for operational monitoring and analytics on streaming event data from Kafka.
Fast Analytics On Semi-Structured And Structured Data In The Cloud
Venkat Venkataramani and Shruti Bhat explain how Rockset is architected to allow for fast and flexible SQL analytics on your data.
How We Analyze and Visualize Kubernetes Events in Real Time at Rockset
Learn how we rolled our own tool for analysis and visualization of Kubernetes events, and try the open-source dashboard for yourself.
Outside Lands, Airbnb Prices, and Rockset’s Geospatial Queries
How to use Rockset's fast geospatial indexes with Airbnb data.
Using Tableau with DynamoDB: How to Build a Real-Time SQL Dashboard on NoSQL Data
We create an example dashboard in Tableau on data in DynamoDB, using Rockset as the SQL intelligence layer.
3 cost-cutting tips for Amazon DynamoDB
How to avoid costly mistakes with DynamoDB partition keys, read/write capacity modes, and global secondary indexes.
Tableau Operational Dashboards and Reporting on DynamoDB
We review several approaches to building operational dashboards and reporting on DynamoDB data, using SQL engines like Redshift and Athena.
Custom Live Dashboards on DynamoDB
We cover different approaches to live dashboards on DynamoDB, using DynamoDB Streams, Lambda, and ElastiCache.
Facebook Data Infrastructure with Dhruba Borthakur
Dhruba joins the show to discuss his time at Facebook building data infrastructure. He takes us through the major projects he worked on.
Redshift with Rockset: High performance queries for operational analytics
Run high-performance queries on data from Redshift tables by continuously ingesting and indexing Redshift data through a Rockset-Redshift integration.
Venkat Venkataramani - Valuing People
Venkat Venkataramani talks with Dave Rael about leadership, humility, contribution, commitment to doing the right things, and valuing people over software and data.
Bringing Scalable Real-Time Analytics to the Enterprise
Dhruba Borthakur and Shruti Bhat share how Rockset is bringing operational analytics to the enterprise by simplifying data architecture in the cloud.
Using Tableau for Live Dashboards on Event Data
Connect a Tableau live dashboard to a real-time event stream of complex JSON in a few easy steps.
Up and Coming: Three Startups with Amazing Potential
Venkat Venkataramani discusses how Rockset is innovating in cloud data management to minimize the effort needed to get from data to apps.
Building a Serverless Analytics App to Capture and Query Clickstream Data
We built a web app that collects clickstream data as free-form JSON and runs SQL queries on the live data in a completely serverless fashion.
Analytics on DynamoDB: Comparing Athena, Spark and Elastic
We compare options for real-time analytics on DynamoDB in terms of ease of setup, maintenance, query capability, and latency.
How to Build a Facebook Messenger Chatbot Powered by Fast SQL on CSV
Build a chatbot that provides instant responses, leveraging fast SQL queries on CSV data.
Using Smart Schema to Accelerate Insights from Nested JSON
Use Rockset's Smart Schema to understand complex, nested JSON and enable immediate queries using SQL on raw data.
How to Run SQL on PDF Files
Run SQL queries on data from PDF files, and join PDFs with JSON, CSV, XLSX, and other data.
RocksDB with Dhruba Borthakur and Igor Canadi
Dhruba and Igor explain the technology behind RocksDB, which backs some of the most demanding applications and databases around.
Visualize Data in Rockset with Redash
Create visualizations on your Rockset data quickly and easily using native integration with Redash.
Running Fast SQL on DynamoDB Tables
Run SQL queries on your DynamoDB tables without any ETL and without impacting your production workloads.
Rockset adds Excel spreadsheet support
Run complex SQL across multiple Excel spreadsheets and join XLSX files with JSON, Parquet or CSV data.
Real-Time Analytics Using SQL on Streaming Data with Apache Kafka and Rockset
Connect Kafka and Rockset to obtain real-time analytics with ad hoc SQL queries on event streams.
Building a Serverless Microservice Using Rockset and AWS Lambda
Use SQL to join and query JSON and CSV data, and build a serverless microservice using AWS Lambda.
Rockset Data Platform with Venkat Venkataramani
Venkat discusses his journey from scaling data infrastructure at Facebook to transforming how data-driven apps are built at Rockset.
Building a Live Dashboard on Streaming Data Using Amazon Kinesis and Rockset
Serve real-time analytics on Twitter data, using SQL on streaming data from Amazon Kinesis.
Running SQL on Nested JSON
Make raw JSON immediately queryable through fast SQL queries, without ETL, data pipelines, or fixed schema.
Revolutionizing Big Data Apps
Rockset CEO Venkat Venkataramani talks about building apps without pipelines, and serverless search and analytics with native SQL.
Building Live Apps on Raw Data with Rockset
As the first cloud service that runs SQL directly on raw data, Rockset greatly simplifies app development and data science on complex data sets.
[Coding Workshop] Build a Recommendation System WebApp using Vector Search and OpenAI embeddings
We will quickly cover the basics of vector search, OpenAI embedding models, and how to handle large data, especially in real time. Following this will be a guided session where you will develop a functional web application. This application will recommend the top 10 most similar video games to a given input game, utilizing a publicly available Amazon product reviews dataset.
Real-time analytics trend sweeping the data industry - Venkat Venkataramani and Dhruba Borthakur, Rockset | CUBE Conversation
Real-time analytics is a huge differentiator whether you’re building a software product or you’re running a business,” says Venkat Venkataramani. Venkat’s advice- act fast. Learn about the real-time analytics trend sweeping the data industry in this CUBE interview.
Views Materialization with DBT + Rockset
A demo where we walk through how to setup the dbt-Rockset Adapter and transform streaming data in real-time.
How Real-Time Updates Work on Rockset with Kshitij
Kshitij is a software engineer here at Rockset. This video will talk about how real-time updates work on Rockset via Rockset's Patch API and remote compaction for writes.
Whiteboarding Session: Compute-compute separation architecture
Watch as co-founder and CTO Dhruba Borthakur whiteboards the architecture for compute-compute separation in the cloud. Rockset isolates ingest compute, query compute and hot storage for efficiency and predictable performance at scale.
Whiteboarding Session: Vector search in Rockset
Rockset CTO Dhruba Borthakur explains how vector search is implemented in Rockset. In this whiteboard session, Dhruba covers how Rockset stores, indexes, queries and updates vector embeddings and how cloud-native architecture benefits vector search.
From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale
Rockset VP of Engineering Louis Brandy shares his experience building spam fighting systems, including Sigma at Facebook, which had a high reliance on real-time data for machine learning.
Rockset: Realtime Indexing for Fast Queries on Massive Semi-structured Data (Dhruba Borthakur)
CMU Database Group - Quarantine Tech Talks (2020) Speaker: Dhruba Borthakur (Rockset) Rockset: Realtime Indexing for Fast Queries on Massive Semi-structured Data July 20, 2021
How construction logistics company Command Alkon built its platform to surface data and analytics across the supply chain
How Command Alkon, a leader in construction logistics, built its CONNEX platform to surface data and analytics across the supply chain.
What Data Engineers Should Know About Real-Time Analytics
Rockset co-founder and CTO Dhruba Borthakur’s presents at the 2022 Tecton apply Community Meetup, “What Data Engineers Should Know About Real-Time Analytics”. For more information, download the presentation.
Rockset Product Overview with Nadine
Nadine shares how to use Rockset to power data-driven applications.
How Rockset's Converged Index Works
Igor is a Founding Engineer at Rockset, where he is building its data indexing and the distributed SQL query engine. This video goes over how Rockset indexes your data via a Converged Index.
Real-Time Analytics for Modern Data Apps: The Briefing Room with Rockset
Hear Bloor Group CEO Eric Kavanagh examine the sea change in Analytics. He'll be briefed by Shruti Bhat of Rockset, who will demonstrate how their platform eliminates the cost and complexity of developing modern data apps.
Build Real-Time Dashboards with DynamoDB, Rockset, and Grafana - Live AWS + Rockset Presentation
DynamoDB is one of the most popular, cloud-native NoSQL databases. Unlike a traditional relational database management system (RDBMS), DynamoDB scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance. As a result, DynamoDB is the database of choice for companies building event-driven architectures and user-friendly, performant applications at scale. As such, DynamoDB is central to many modern applications in ad tech, gaming, IoT, and financial services.
Enabling Real-Time Analytical Operations in Hardware Manufacturing
PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn’t support real-time querying of data. PCH initially considered data warehouse such as Snowflake and Redshift, but found the them too costly for real-time analytics. They chose Rockset because it could quickly ingest data from multiple sources including streaming sources with minimal setup and enabled fast query performance. Rockset enabled PCH to perform ad hoc complex queries within seconds, a huge improvement over the one-hour latency they were seeing before.
Complementing DynamoDB with Rockset for Real-Time IoT Analytics
1NCE is a IoT connectivity provider that helps their customers gain access to a fast, reliable global network. Hear Jan Sulaiman talk about how 1NCE complemented their DynamoDB deployment with Rockset to enable real-time analytics, full SQL on DynamoDB, and faster time to market.
Rockset real-time analytics software architecture with co-founder and CTO Dhruba Borthakur
Hear Rockset's CTO and co-founder, Dhruba Borthakur, talk through Rockset's architecture. In this video, Dhruba reviews how data is ingested, stored, and queried in Rockset and why it is simple to use, incredibly fast, and infinitely scalable.
5 Steps for Migrating from Elasticsearch to Rockset for Search and Analytics
Hear real life examples of customers who have made the migration from Elasticsearch to Rockset and leave with a better understanding of the process.
Deliver Better Product Recommendations with Real-Time AI & Vector Search
See a live demo of real-time product listings and OpenAI generated embeddings stream through Confluent Cloud into Rockset to be indexed for similarity search.
Geospatial Search in Rockset
Learn the robust geospatial capabilities in Rockset in this hands-on workshop.
How We Built Vector Search in the Cloud
In this talk, Chief Architect Tudor Bosman and engineer Daniel Latta-Lin share how they built a distributed similarity index using FAISS-IVF that is memory-efficient and supports immediate insertion and recall.
CTO Talk: Comparing Elasticsearch and Rockset Streaming Ingest and Query Performance
Hear how Venkat had a front-row seat in watching real-time data emerge at Facebook, and the insights he gained about the future of data processing that led him to start Rockset.
DC_THURS on Analytical Data Processing w/ Venkat Venkataramani, Co-Founder & CEO at Rockset
Hear how Venkat had a front-row seat in watching real-time data emerge at Facebook, and the insights he gained about the future of data processing that led him to start Rockset.
Data Gravity Why Cloud Databases Will Prevail
The cloud has greatly enhanced our ability to produce and store large masses of data, volumes that could never fit in most traditional data centers. And the larger the body of data is, the more services and tools it attracts. This creates “Data Gravity” – a force almost as strong as Isaac Newton’s imagination.
How Klarna Scales Buy Now Pay Later with Real-Time Anomaly Detection
With Rockset, Klarna was able to identify and alert teams to issues with partner and merchant integrations in real time, saving the company millions of dollars.
JetBlue Scales Real-Time AI on Rockset
"Iteration and the speed of new ML products was the most important to us. With Rockset, we found a database that could keep up with the fast pace of innovation at JetBlue," says Sai Ravuru, Senior Manager of Data Science and Analytics at JetBlue.
Real-time AI: Live Recommendations Using Confluent and Rockset
We discuss using Confluent Cloud’s data streaming platform and Rockset’s vector search capabilities to power real-time AI applications.
How Windward Built Real-Time Logistics Tracking and AI Insights for the Maritime Industry
Learn how Windward built a real-time data platform that enables rapid innovation in AI for the maritime industry.
Real-Time Clinical Trial Monitoring at Clinical ink
How Clinical ink built a real-time 360-degree view of patients and their outcomes across global clinical trials by migrating from Opensearch to Rockset for DynamoDB indexing.
Developing Global Labor Market Intelligence at SkyHive Using Rockset and Databricks
SkyHive builds a platform for labor market intelligence, using Databricks for ML processing and Rockset to serve their user-facing application.
Scaling Our SaaS Sales Training Platform with Real-Time Analytics from Rockset
As users and data volumes grew, ConveYour needed to scale their customer-facing dashboards. Learn how their developer team achieved scalability, concurrency and low ops using Rockset.
Case Study: How Rockset's Real-Time Analytics Platform Propels the Growth of Our NFT Marketplace
Own the Moment uses Rockset to build the real-time analytics and leaderboards that are core to their NFT and fantasy sports platform.
PyTorch Infra's Journey to Rockset
The PyTorch infra team at Meta runs thousands of tests to validate every change as part of their Continuous Integration. Learn how they moved to Rockset to deliver metrics on the health of their CI.
Case Study: iYOTAH Brings Real-Time IoT Analytics to Dairy Farming with Its AgTech SaaS Platform
iYOTAH uses real-time IoT data to moooo-ve dairy farming into a smart future.
Case Study: How Rockset Turbocharges Real-Time Personalization at Whatnot
Whatnot implemented real-time personalization for their live shopping platform using Rockset, which proved a more efficient alternative to Elasticsearch.
Case Study: Is Your NoSQL Data Hindering Real-Time Analytics? Savvy Solved It with Rockset.
Savvy provides real-time analytics for growth teams using its service to create no-code interactive experiences. Learn how they built this functionality using Rockset on MongoDB data.
Case Study: Zembula and Rockset Power Real-Time Marketing Email Personalization
Low-ops and cost-effective, Rockset is helping Zembula scale our next 100x growth.
Case Study: How Rockset Made Me a Day Three Hero at Sounding Board
From Rockset trial to usable and reportable real-time information in just three days.
Case Study: How Dimona Built a Real-Time Inventory Management System on Rockset
Dimona needed a better technology solution, one that could handle massive data sets and query them fast.
Case Study: Rockset Enables Real-Time Operational Analytics in Hardware Manufacturing for PCH
Rockset delivers ad hoc complex queries within seconds, a huge improvement over the one-hour latency PCH was seeing before.
Case Study: Complementing DynamoDB with Rockset for Real-Time IoT Analytics at 1NCE
Thanks to Rockset, 1NCE is able to provide customers with fast and valuable insight into their data
Case Study: Real-Time Insights Help Propel 10X Growth at E-Learning Provider Seesaw
Rockset, along with DynamoDB, Hightouch, and Retool, enabled Seesaw to obtain actionable, real-time insights that helped grow their e-learning platform.
Case Study: Powering Customer-Facing Dashboards at Scale Using Rockset with PostgreSQL at DataBrain
Learn how Rockset’s PostgreSQL integration helped DataBrain scale smoothly as its production data size and query volume exploded.
Case Study: Fast and Simple — Building Rich Patient Dashboards for Speech Therapists with Rockset
Rockset is used to power interactive visualizations of the rehabilitation data of speech-impaired patients for their speech therapists and other caregivers.
Case Study: Bringing Real-Time Analytics to Construction Logistics at Command Alkon
Command Alkon offers a SaaS application to digitize construction logistics, allowing suppliers, transportation providers and contractors on jobsites to analyze and collaborate on data in real time.
Case Study: Sequoia Capital — Why We Moved from Elasticsearch to Rockset
We spoke with Sequoia’s head of engineering, Jake Quist, and VP of data science, Hem Wadhar, about their reasons for moving their internal analytics off Elasticsearch to Rockset.
Case Study: Ritual’s Move to Real-Time Analytics to Personalize the Multivitamin Experience
Ritual, a health-meets-technology company, personalized the cart checkout experience, email promotions and banners using Rockset. Learn how Ritual effectively monetized new product lines with real-time analytics.
Case Study: Rumble’s Real-Time Leaderboards Empower Users to Lead Healthier Lifestyles
Learn how Rockset powers Rumble's real-time leaderboards, which serve to motivate its users to keep active.
Case Study: Matter Uses Rockset to Bring AI-Powered Sustainable Insights to Investors
With Rockset, Danish fintech Matter has the flexibility to run analytical queries on semi-structured data in S3 and DynamoDB as part of their NLP architecture.
Case Study: eGoGames Esports Platform Uses Rockset for Real-Time Analytics on Gaming Data
eGoGames improves user experience, detects fraud, and makes business decisions using Rockset for real-time analytics on gaming data in Amazon DynamoDB and S3.
Case Study: StoryFire - Scaling a Social Video Platform on MongoDB and Rockset
Learn how StoryFire uses Rockset to index data from their transactional MongoDB database to achieve performance and scale.
Case Study: Fleet Management System – An End-to-End Streaming Data Pipeline
This post outlines a fleet management solution using IoT and data technologies, such as DynamoDB, AWS IoT Core, AWS Lambda, and Rockset.
Case Study: Standard Cognition Uses Rockset to Deliver Data APIs and Real-Time Metrics for Vision AI
Standard Cognition, an AI-powered computer vision company, uses Rockset to enable their developers to deliver data APIs and product improvements.
Case Study: FULL Uses Rockset with DynamoDB for Live Dashboard to Manage Remote Workforce
FULL Creative uses Rockset to build live dashboards and run complex SQL on contact center call data in DynamoDB.
Case Study: Decore Uses Rockset for Search & Analytics on DynamoDB
Decore needed to enable ad hoc queries in their crypto accounting software service, so they turned to Rockset for fast analytics on DynamoDB.
Case Study: Implementing Real-Time IoT Analytics Simply and Efficiently - An MIT Smart City Project
An MIT team collaborates with a school in Brazil on a smart city project to analyze weather sensor data using Rockset.
Case Study: Fynd Uses Kafka and Rockset to Respond to E-Commerce Consumer Behavior in Real Time
Fynd uses Rockset to perform fast queries on real-time Kafka event streams, so they can react to consumer behavior as it happens.
Case Study: The Path to Better Pollution Forecasting Goes Through Nested JSON
Pittsburgh-based developer Doug Balog collects and analyzes nested JSON weather data to improve pollution forecasts in his community.