Our Beliefs 7 strategies we're using to reduce cloud infrastructure costs in 2023 Cloud infrastructure costs are going up for everyone, but expectations to perform haven't receded. Here are 7 strategies that we use at Tinybird to keep our costs low as we innovate new ways to help our customers achieve more with less.
Real-time Data Real-time Databases: What developers need to know Explore the key factors in choosing a real-time database and compare MongoDB, PostgreSQL, Tinybird, ClickHouse, Snowflake, Pinot, and Druid to determine the best fit for your application's performance, scalability, and analytics needs.
Dev Q&As Chatting GraphQL with Jamie Barton of Grafbase We sit down with Jamie Barton of Grafbase to talk about building a serverless platform to help developers build GraphQL backends, and how Tinybird has multiplied their development speed while supporting all their data integration needs.
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.
Product The power of real-time streaming analytics with Confluent and Tinybird Today, Tinybird is excited to announce the launch of our new Confluent Connector, offering Confluent users the ability to stream their data into Tinybird in real time. With today’s announcement, Confluent users have a new way to query their streaming data and build fast APIs, faster.
Company Tinyshop: Get Tinybird swag delivered to your doorstep Introducing Tinyshop, a less awkward and more environmentally-friendly way to share the Tinybird love. Get custom-designed Tinybird swag delivered straight to your door, starting today.
Building In Public Building a faster CI pipeline with Turborepo and pnpm We made 3 big changes that have shortened our frontend CI execution time despite a massive increase in code size and test coverage.
Dev Q&As Developer Q&A: Monitoring global API latency with chronark We sit down with chronark, creator of Planetfall.io, to talk about global API latency monitoring, time series analytics, usage-based billing, and why being an "SQL noob" can't stop you from making something amazing with Tinybird.
Dev Q&As Developer Q&A with JR the Builder, co-creator of Beam Analytics We chat with JR the Builder, 3x indie hacker and recent co-creator of Beam Analytics, about building the cheapest GDPR-compliant web analytics platform, scaling to the whole internet, and launching fast with Tinybird.
Our Beliefs Data-Driven Talk: Build fast APIs, faster, over data at scale Tinybird helps developers and data engineers build fast APIs, faster, over streaming data at scale. This is a partial transcript from a talk given by Jorge Gomez Sancha, Co-Founder and CEO of Tinybird, at Data Driven NYC ‘23.
Real-time Data Real-Time Analytics: Examples, Use Cases, Tools & FAQs Real-time data analytics can be a powerful differentiator for businesses. But how should you approach it to maximize output and keep costs in check? Get answers to these questions - and many more - in this definitive guide.
Product Build fast charts faster with the Tinybird Grafana plugin Grafana is the observability tool of choice for Platform teams, so why settle for slow dashboards? Today, we announce the release of the Tinybird plugin for Grafana, so you can build fast charts, faster.
Product Build serverless real-time analytics on Vercel with Tinybird What do Tinybird and Vercel have in common? A lot, as it turns out. Today, we announce the new Tinybird Integration available in the Vercel Integration Marketplace. Use it to sync your Tinybird Workspaces with your Vercel projects to build the real-time, serverless analytics you've always wanted.
Product Simplifying event sourcing with scheduled data snapshots in Tinybird Tinybird has always made it possible to ingest relentless streams of data, query and shape them using SQL, and publish them as high-concurrency, low-latency APIs for use in your applications.
Product Building an enterprise-grade real-time analytics platform Tinybird is an enterprise-grade real-time analytics platform trusted by businesses of all sizes. Today, we are excited to announce Tinybird Organizations, a new feature for enterprise customers to monitor usage on multiple Workspaces and manage their projects across Tinybird in a single dashboard.
Product Transforming real-time applications with Tinybird and Google BigQuery Today, Tinybird is excited to announce the launch of our new Google BigQuery Connector, offering Google BigQuery users an easy and reliable method to bring their data to Tinybird where they can query and shape it using SQL and publish it as low-latency APIs to be consumed by their applications.
Product More Data, More Apps: Improving data ingestion in Tinybird Building with Tinybird all starts with data ingestion, so we're focused on making it even better. Read on for updates to our ingestion experience, plus examples of how Tinybird customers ingest, query, and publish with Tinybird.
Building In Public How we cut our CI pipeline execution time in half Our GitLab CI pipeline was slow and flaky. Here’s how we used telemetry data, real-time analytics, and smart k8s configuration to fix it.
Tinybird Examples Log Analytics: how to identify trends and correlations that Log Analysis tools cannot Introducing the Tinybird Log Analytics Starter Kit. It’s an open-source template to help you take your Log Analysis to the next level using analytics that help you examine your software logs to identify trends, patterns, and more. It’s free and available today.
Building In Public Horizontally scaling Kafka consumers with rendezvous hashing How we used rendezvous hashing to horizontally scale Kafka consumers to support hundreds of concurrent topics with fewer connections, thus lowering our infrastructure costs.
Tinybird Examples The top emojis on Twitter for every hour of 2022 I've been streaming 100 tweets/sec since the beginning of the year and using Tinybird to analyze and publish the top emoji for every hour of 2022. See what events you can find in these 8,760 emojis.
Company Tinybird is SOC 2 Type II compliant Trust is earned, not given, and we're proud to have achieved this important certification to celebrate the trust we’ve earned from our customers.
Tinybird Examples Measuring World Cup sentiment with Twitter and Tinybird How do people feel during a World Cup match? I combined Twitter, Python, Tinybird, and Retool to find out.