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.

In this tech talk, we assess Elasticsearch and Rockset for real-time analytics on real-time ingest, data flexibility and scalability.

In this Twitch workshop, we’ll set up an API on Kafka using Rockset to see which NFL team is the most talked about on Twitter. By the end of the workshop you’ll be able to analyze heavily nested Twitter data using SQL without any data denormalization. Join us live on October 30th at 11 am PDT.

We'll be teaming up with MongoDB's dev rel team to analyze 10 million + MongoDB documents in real-time using Rockset. Join us live on November 20th!

We'll be speaking at Postman Galaxy 2020 on making application developers more productive with data as an API. Join us November 17-19th!

Dhruba Borthakur presents on real-time indexing for fast queries on massive semi-structured data at Carnegie.

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.

An inside look into building massively scalable online infrastructure at Facebook.

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.

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.

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.

In this whitepaper, we’re sharing the 5 key principles for real-time analytics of the future.

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.

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.

eGoGames improves user experience, detects fraud, and makes business decisions using Rockset for real-time analytics on gaming data in Amazon DynamoDB and S3.

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.

In this talk, we compare and contrast Elasticsearch and Rockset as indexing data stores for serving low latency queries.

StoryFire uses Rockset to index data from their transactional MongoDB database to achieve performance and scale for analytical queries on their social video platform.

Generate ETA predictions for a delivery service using real-time location and order data from Kafka and DynamoDB.

A tech talk on how organizations tackle the challenges of sharding, indexing and offloading queries to scale MongoDB

Implementing a real-time recommendations API for an event ticketing system by indexing MongoDB data in Rockset for fast SQL.

Learn how Rockset builds real-time indexes on MongoDB data for search, aggregations and joins.

Build a Python application to create and execute APIs on aggregations and joins using Rockset and MongoDB.

Learn how Rockset indexes data from MongoDB change data capture (CDC) streams and how it compares to indexing in Elasticsearch.

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.

An inside look into the performance of Rockset, illustrating real-world numbers for what you can expect when querying data in Rockset.

A tech talk on building real-time applications on computer vision data with customer Standard Cognition

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.

Two RocksDB talks on stateful stream processing at LinkedIn and characterizing key-value workloads at Facebook.

We demonstrate how to expose real-time IoT data in Kafka through the Rockset REST API in this example.

This tech talk covers how change data capture with DynamoDB Streams can be used to enable complex queries for analytics.

In this IoT example, we examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors.

Standard Cognition, an AI-powered computer vision company, uses Rockset to enable their developers to deliver data APIs and product improvements.

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.

Scott is an engineer at Rockset and helped build Query Lambdas. In the developer video, he'll be talking and showing you how Query Lambdas make it easier for you to build applications.

There are now more ways to create and execute query lambdas than just the console! Check out the demo to see the new release of our developer tools.

Purvi is a software engineer at Rockset, where she helped built Smart Schemas. This video covers how you can go from raw data (without ever knowing the shape of your data) to insights with the help of smart schemas.

Nadine shares how to use Rockset to power data-driven applications.

Ari is a software engineer at Rockset where he helps build all aspects of query planning and execution. This video covers how Rockset performs query plan optimization through various examples.

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.

Dhruba shares his experience as Rockset CTO and how he still finds time to write code in addition to building a strong technical team.

Learn how to create a SQL API for real-time Kafka analytics on the Twitter Streaming API, using AWS Lambda and Rockset.

Dhruba Borthakur discusses various design patterns for building analytics on Kafka event streams in this tech talk.

Recorded version of our weekly live demo, where we go from raw data to real-time applications and dashboards, powered by Rockset.

We examine how different data backends - Druid, Elasticsearch and Rockset - can be used alongside Kafka for analytics on event data streams.

Build a real-time Tableau dashboard for operational monitoring and analytics on streaming event data from Kafka.

Venkat Venkataramani and Shruti Bhat explain how Rockset is architected to allow for fast and flexible SQL analytics on your data.

Learn how we rolled our own tool for analysis and visualization of Kubernetes events, and try the open-source dashboard for yourself.

How to use Rockset's fast geospatial indexes with Airbnb data.

We create an example dashboard in Tableau on data in DynamoDB, using Rockset as the SQL intelligence layer.

How to avoid costly mistakes with DynamoDB partition keys, read/write capacity modes, and global secondary indexes.

We review several approaches to building operational dashboards and reporting on DynamoDB data, using SQL engines like Redshift and Athena.

We cover different approaches to live dashboards on DynamoDB, using DynamoDB Streams, Lambda, and ElastiCache.

We present how the Aggregator-Leaf-Tailer architecture is used to implement Rockset's low-latency, serverless operational analytics engine.

Dhruba joins the show to discuss his time at Facebook building data infrastructure. He takes us through the major projects he worked on.

Run high-performance queries on data from Redshift tables by continuously ingesting and indexing Redshift data through a Rockset-Redshift integration.

Learn about the challenges when adapting SQL to principles of strong dynamic typing and the idea of a Converged Index.

Venkat Venkataramani talks with Dave Rael about leadership, humility, contribution, commitment to doing the right things, and valuing people over software and data.

Dhruba Borthakur and Shruti Bhat share how Rockset is bringing operational analytics to the enterprise by simplifying data architecture in the cloud.

Connect a Tableau live dashboard to a real-time event stream of complex JSON in a few easy steps.

Venkat Venkataramani discusses how Rockset is innovating in cloud data management to minimize the effort needed to get from data to apps.

FULL Creative uses Rockset to build live dashboards and run complex SQL on contact center call data in DynamoDB.

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.

We discuss and demonstrate some of the key aspects of Rockset: strong dynamic typing, the Converged Index, and continuous auto-scaling.

Decore needed to enable ad hoc queries in their crypto accounting software service, so they turned to Rockset for fast analytics on DynamoDB.

We demonstrate how to create stateful microservices to analyze event streams using Kafka and Rockset.

We compare options for real-time analytics on DynamoDB in terms of ease of setup, maintenance, query capability, and latency.

Learn how Rockset's Converged Index—combining columnar and search indexes—powers fast search and analytics.

Fynd uses Rockset to perform fast queries on real-time event streams, so they can react to consumer behavior as it happens.

Pittsburgh-based developer, Doug Balog, collects and analyzes nested JSON weather data to improve pollution forecasts in his community.

An MIT team collaborates with a school in Brazil on a smart city project to analyze weather sensor data using Rockset.

Build a chatbot that provides instant responses, leveraging fast SQL queries on CSV data.

Use Rockset's Smart Schema to understand complex, nested JSON and enable immediate queries using SQL on raw data.

Run SQL queries on data from PDF files, and join PDFs with JSON, CSV, XLSX, and other data.

Dhruba and Igor explain the technology behind RocksDB, which backs some of the most demanding applications and databases around.

Create visualizations on your Rockset data quickly and easily using native integration with Redash.

Run SQL queries on your DynamoDB tables without any ETL and without impacting your production workloads.

Run complex SQL across multiple Excel spreadsheets and join XLSX files with JSON, Parquet or CSV data.

Connect Kafka and Rockset to obtain real-time analytics with ad hoc SQL queries on event streams.

Use SQL to join and query JSON and CSV data, and build a serverless microservice using AWS Lambda.

Venkat discusses his journey from scaling data infrastructure at Facebook to transforming how data-driven apps are built at Rockset.

Serve real-time analytics on Twitter data, using SQL on streaming data from Amazon Kinesis.

Make raw JSON immediately queryable through fast SQL queries, without ETL, data pipelines, or fixed schema.

Rockset CEO Venkat Venkataramani talks about building apps without pipelines, and serverless search and analytics with native SQL.

Rockset CEO Venkat Venkataramani explains how Rockset makes it really simple to build data-driven apps with very fast SQL on raw data.

Rockset CTO Dhruba Borthakur speaks with ActualTech about what Rockset does and how it changes the game for enterprises.

Venkat and Jerry discuss Rockset's vision and the future of cloud and data.

As the first cloud service that runs SQL directly on raw data, Rockset greatly simplifies app development and data science on complex data sets.

Learn how Rockset's architecture enables highly parallelized execution of complex queries across diverse data sets.