Real-Time Analytics for Gaming
Develop compelling features and experiences that capitivate your players
Gaming
Player engagement is crucial to building successful games. To deepen and maintain engagement, game developers constantly improve game features and experiences, relying heavily on the use of data and real-time analytics to do so.
With Rockset, you can analyze player actions in real time to modify their gaming experiences accordingly or develop new features on that data.
Gaming Use Cases
Leaderboards
Build real-time leaderboards that join data across multiple competitions and time windows. Motivate players to increase their in-game activity in order to compete and advance.Personalization
Customize gameplay and in-game advertising based on what players are doing in real time. Boost player engagement and conversion with more targeted experiences.Game Analytics
Use live dashboards to understand what users like, how they interact with game features and how they make purchases. Drive feature decisions to increase retention, conversion and lifetime value.
Why Rockset
Why Real-time Analytics in Gaming Is Hard
How Rockset Makes It Easy
Why Real-time Analytics in Gaming Is Hard
How Rockset Makes It Easy
Core Features
Built-In Data Connectors
Set up continuous ingestion from common data sources, like MongoDB, DynamoDB, Kafka and S3, in a plug-and play manner. New data is reflected in Rockset in seconds.
SQL with JOINs
Join multiple data sets for analysis. Rockset supports full-featured SQL, enabling complex search, aggregation and join queries.
Converged Index™
Rockset automatically builds search, columnar and row indexes on your data to deliver fast queries at scale.
Serverless Autoscaling
Rockset scales storage, ingest and query layers automatically and independently in response to growth and spikes in usage.
Resources
Real-time analytics on gaming data in DynamoDB and S3
eGoGames improves user experience, detects fraud, and makes business decisions using Rockset for real-time analytics.
Read moreScaling a social video platform on MongoDB and Rockset
StoryFire uses Rockset to index data from their transactional MongoDB database to achieve performance and scale.
Read moreReal-time analytics on DynamoDB
We compare options for real-time analytics on DynamoDB - Elasticsearch, Athena, and Spark - in terms of ease use, query capability and latency.
Read moreReal-time indexing using MongoDB change streams
Learn how Rockset indexes data from MongoDB change data capture (CDC) streams and how it compares to indexing in Elasticsearch.
Read moreJOINs and aggregations on MongoDB data
Learn how Rockset builds real-time indexes on MongoDB data for search, aggregations and joins.
Read moreConverged Index™ for blazing-fast queries
Rockset automatically builds search, columnar, and row-based indexes on every field of the data it ingests to accelerate different types of queries.
Read moreCustomers
Real-Time Analytics At Lightning Speed