Product The Tinybird DynamoDB Connector is now GA The Tinybird DynamoDB Connector is now GA and ready for production use in all Workspaces. Last month, the DynamoDB Connector hatched into public beta, and quickly broke the record for fastest adoption of a Connector launch yet. We knew DynamoDB was popular, but the reception was beyond what we expected!
Product Featured From CDC to real-time analytics with Tinybird and Estuary With Estuary's release of Dekaf, you can now integrate with hundreds of CDC data sources using Tinybird's Kafka Connector.
Product Introducing the Tinybird DynamoDB Connector in public beta Today we announce the Tinybird DynamoDB Connector in public beta, enabling those who use the popular AWS database to quickly ingest and sync their DynamoDB tables to Tinybird. The DynamoDB Connector is available in all Workspaces in AWS regions.
Product 3 ways to run real-time analytics on AWS with DynamoDB DynamoDB is a great database for real-time transactions, but it isn't suited for analytical queries or real-time analytics. Explore a few ways to build real-time analytics on data you already have in DynamoDB.
ClickHouse Featured Tinybird vs. ClickHouse®️: What's the difference? Tinybird is a real-time data platform for user-facing analytics, built using ClickHouse. Here are the differences between Tinybird and other ClickHouse solutions, including self-hosted and managed.
Product Featured Import Postgres tables into Tinybird with the PostgreSQL Table Function Today we announce the PostgreSQL Table Function, a powerful and flexible way to import and sync data from Postgres to Tinybird with just a few lines of SQL.
Product Introducing Rate Limiting for Tinybird APIs Today, we introduce Rate Limiting for Tinybird API Endpoints. With this new feature, you can limit how often your users can fetch Tinybird APIs on a per-endpoint or per-user basis.
Product Tinybird is now available in AWS us-west-2 We’re excited to announce Tinybird availability in AWS US-West-2. Lower latency for customers deploying their applications on the US West Coast.
Product Tinybird has joined the AWS ISV Accelerate Program We’re excited to be able to tap into AWS’s infrastructure and tools to deliver great real-time analytics solutions for our joint customers.
Building In Public JWTs for API Endpoints now in public beta! We are launching JWTs for API Endpoints into public beta! With JWTs, you can call Tinybird APIs directly from within the browser, with no middleware or other backend components necessary.
Product We rebuilt our docs from scratch. It was worth it. Building modern docs begins with a modern tech stack. Here’s how we rebuilt our documentation and what it enables us to do for our customers.
Product Export data from Tinybird to Amazon S3 with the S3 Sink Today, we release the S3 Sink. Now, you can export data from Tinybird to Amazon S3 without any external processes or additional code.
Product Tinybird expands self-service real-time analytics to AWS Starting today, our self-service customers can select Amazon Web Services as their deployment environment when creating a new Tinybird Workspace. Tinybird is already trusted by AWS customers, including FanDuel, Factorial, and Canva.
Product Automating data workflows with plaintext files and Git Data engineering should adopt proven software engineering principles in version control, CI/CD, and testing. Read how we're making that possible at Tinybird.
Product We have released a stable version of the Tinybird CLI Introducing the Tinybird CLI v1.0.0, our first stable release.
Product Iterate your real-time data pipelines with Git Today, we’re launching Versions, a safer, more collaborative way to work with Tinybird Data Projects. Read on to learn more about Versions and how it will change the way you work with real-time data.
Product Run analytics on files in Amazon S3 the easy way So, you want to run analytics on data stored in S3 files? Here’s the easy way to do it, using the Tinybird S3 Connector.
Data 101 Using Tinybird as a serverless online feature store Machine learning can feel like a lot of hype, but feature stores are extraordinarily practical. In this post, I'll show you why Tinybird makes for an excellent online feature store for real-time inference and game-changing user experiences.
Product A new way to create intermediate Data Sources in Tinybird We are pleased to announce the general availability release of Copy Pipes, a new way to generate snapshots of SQL results and store them in a Tinybird Data Source.
Product Why we just released a huge upgrade to our VS Code Extension Tinybird is a powerful, performant real-time data platform. But we win the hearts of engineers through an amazing developer experience. Read how and why we recently upgraded our VS Code Extension for an even better DX.
Product Using custom Kafka headers for advanced message processing Kafka headers are key-value pairs that can be attached to Kafka messages to provide metadata and additional information about the message. Read on to learn more about the use cases headers support and how to build real-time analytics pipelines using Kafka headers.
Product Generate mock data schemas with GPT Today, we announce the release of our in-product, AI-powered demo data generator. Building off our recent release of Mockingbird, Tinybird now makes it possible to generate mock data schemas based on GPT prompts. Write your first mock data prompt today in the Tinybird UI.
Product A free and open source mock data generator for your next data project Mockingbird is a powerful and flexible mock streaming data generator for all of your data projects. With Mockingbird, you can define a data schema and stream mock data to Tinybird and external destinations. Use the headless library, CLI, or UI to generate data streams for any application.
Product Building real-time solutions with Snowflake at a fraction of the cost Snowflake is not optimized for real-time use cases. Integrate your Snowflake datasets with Tinybird to build low-latency, high-concurrency APIs over Snowflake data.
