Migrate from Rockset¶

In this guide, you'll learn how to migrate from Rockset to Tinybird, and the overview of how to quickly & safely recreate your setup.

Rockset will no longer be active after September 30th, 2024. This guide explains the parallels between Rockset and Tinybird features, and how to migrate to using Tinybird.

Prerequisites¶

You don't need an active Tinybird Workspace to read through this guide, but it's good idea to understand the foundational concepts and how Tinybird integrates with your team. If you're new to Tinybird, read the team integration guide.

At a high level¶

Tinybird is a great alternative to Rockset's analytical capabilities.

Tinybird is a data platform for data and engineering teams to solve complex real-time, operational, and user-facing analytics use cases at any scale, with end-to-end latency in milliseconds for streaming ingest and high QPS workloads.

It's a SQL-first analytics engine, purpose-built for the cloud, with real-time data ingest and full JOIN support. Native, managed ingest connectors make it easy to ingest data from a variety of sources. SQL queries can be published as production-grade, scalable REST APIs for public use or secured with JWTs.

Tinybird is a managed platform that scales transparently, requiring no cluster operations, shard management or worrying about replicas.

See how Tinybird is used by industry-leading companies today in the Customer Stories hub.

Concepts¶

A lot of concepts are the same between Rockset and Tinybird, and there are a handful of others that have a 1:1 mapping. In Tinybird:

Key concept comparison¶

Data Sources¶

Super similar. Rockset and Tinybird both support ingesting data from many types of data sources. You ingest into Tinybird and create a Tinybird Data Source that you then have control over - you can iterate the schema, monitor your ingestion, and more. See the Data Sources docs.

Workspaces¶

Again, very similar. In Rockset, Workspaces contain resources like Collections, Aliases, Views, and Query Lambdas. In Tinybird, Workspaces serve the same purpose (holding resources), and you can also share Data Sources between multiple Workspaces. Enterprise users monitor and manage Workspaces using the Organizations feature. See the Workspace docs.

Ingest Transformations¶

These are analogous to Tinybird's Pipes. It's where you transform your data. The difference is that Rockset does this on initial load (on raw data), whereas Tinybird lets you create and manage a Data Source first, then transform it however you need. See the Pipes docs.

Views¶

Similar to Tinybird's Nodes - the modular, chainable "bricks" of SQL queries that compose a Pipe. Like Views, Nodes can reference resources like other Nodes, Pipes, Data Sources, and more. See the Pipes > Nodes docs.

Rollups¶

The Tinybird equivalent of rollups is Materialized Views. Materialized Views give you a way to pre-aggregate and pre-filter large Data Sources incrementally, adding simple logic using SQL to produce a more relevant Data Source with significantly fewer rows. Put simply, Materialized Views shift computational load from query time to ingestion time, so your API Endpoints stay fast. See the Materialized Views docs.

Query Lambdas¶

The Tinybird equivalent of Query Lambdas is API Endpoints. You can publish the result of any SQL query in your Tinybird Workspace as an HTTP API Endpoint. See the API Endpoint docs.

Schemaless ingestion¶

You can do schemaless/variable schema event ingestion on Tinybird by storing the whole JSON in a column. Use the following schema in your Data Source definition and use JSONExtract functions to parse the result afterwards.

SCHEMA >
    `root` String `json:$`

ENGINE "MergeTree"

If your data has some common fields, be sure to extract them and add them to the sorting key.

Read the docs on using the JSONPath syntax in Tinybird for more information.

Ingest data and build a POC¶

Tinybird allows you to ingest your data from a variety of sources, then create Tinybird Data Sources in your Workspace that can be queried, published, materialized, and more.

Just like Rockset, Tinybird supports ingestion from:

• Data streams (Kafka, Kinesis).
• OLTP databases (DynamoDB, MongoDB, MySQL, PostgreSQL).
• Data lakes (S3, GCS).

A popular option is connecting DynamoDB to Tinybird. Follow the guide here or pick another source from the side nav under "Ingest".

Materialized Views give you a way to pre-aggregate and pre-filter large Data Sources incrementally, adding simple logic using SQL to produce a more relevant Data Source with significantly fewer rows.

Put simply, Materialized Views shift computational load from query time to ingestion time, so your API Endpoints stay fast.

Useful resources¶

Migrating to a new tool, especially at speed, can be challenging. Here are some helpful resources to get started on Tinybird:

• Set up a DynamoDB Data Source to start streaming data today.
• Read the blog post "Migrating from Rockset? See how Tinybird features compare".
• Read the blog post "A practical guide to real-time CDC with MongoDB".

Billing and limits¶

Read the billing docs to understand how Tinybird charges for different data operations. Remember, UI usage is free (Pipes, Playgrounds, Time Series - anywhere you can hit a "Run" button) as is anything on a Build plan so get started today for free and iterate fast.

Next steps¶

If you’d like assistance with your migration, contact Tinybird at support@tinybird.co or in the Community Slack.

• Set up a free Tinybird account and build a working prototype: Sign up here.
• Run through a quick example with your free account: Tinybird quick start.
• Read the billing docs to understand plans and pricing on Tinybird.