Build Data-Driven Applications Faster
Use the full capabilities of SQL to power APIs for search, aggregations and joins, and replace 100s of lines of code with a single API call. Rockset allows you to create APIs on your data in minutes, so you can build data-driven applications on MongoDB data quickly and simply.
Real-Time External Indexing on MongoDB
Use Rockset as a speed layer to index your MongoDB collections and serve fast APIs. Rockset tails MongoDB change streams so you can offload read-heavy applications from your MongoDB database, without requiring hard-to-manage pipelines, caches or specialized data stores.
Move Faster with Rockset and MongoDB
Do more with APIs created on Rockset, so you can ship new features faster. Query across MongoDB and other data sets using SQL JOINs. Run complex aggregation, filter and sort queries in milliseconds. Build data-driven applications easily using real-time SQL queries executed from REST endpoints.
Create APIs for aggregations and join on MongoDB
Build a Python application to create and execute aggregation and join APIs using Rockset and MongoDB.Read more
Real-time recommendations API on MongoDB and Rockset
Implementing a real-time recommendations API for an event ticketing system by indexing MongoDB data in Rockset.Read more
JOINs and aggregations using real-time indexing on MongoDB Atlas
We explore how real-time indexing on MongoDB enables fast aggregation and join queries.Read more
Real-time external indexing on MongoDB
Power your apps with fast APIs by loading MongoDB data into the Rockset Converged Index and moving read-intensive apps off your MongoDB database.Read more
Using MongoDB change streams for indexing
Learn how Rockset indexes data from MongoDB change data capture (CDC) streams and how it compares to indexing in Elasticsearch.Read more
Using MongoDB Atlas as a data source in Rockset
Securely connect MongoDB Atlas with Rockset, and create Rockset collections which sync with MongoDB in real time.Read more
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