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Introducing Usage Metering for ChatGPT-Powered LLM Apps
Add usage metering to your ChatGPT-powered products with five lines of code. Quickly implement functionality to enforce limits, detect abuse, act on user feedback, and visualize usage insights and get to market faster.
Introducing OR and Filter Group Support to our GraphQL API: Build powerful filters for your reports and dashboards
Learn about Propel’s new filtering capabilities that enable you to easily build powerful drill-downs and empower customers to slice and dice their reports and dashboards.
Overview of Propel’s GDPR and Enterprise Compliance Features
How Propel ensures we keep your sensitive information safe and how we provide you with the tools to manage your data.
Introducing the new Metric Report API: Powerful reports for any app with a single GraphQL request
Build sophisticated reports into your apps with a single API request with the new Metric Report API.
Launching Today: The official Propel Grafana plugin
Developers can now use their existing Grafana toolset to visualize data powered by Propel’s powerful data-serving engine.
Announcing our new Terraform Provider
Now you can use Terraform to configure Propel just like other parts of your infrastructure
Now in Preview: File Upload Data Source with Parquet support
Our new File Upload Data Source. The new functionality lets you upload data files directly to Propel to power your user-facing analytics.
Now in Preview: Webhook Data Source
Easily get your data into Propel to power a variety of customer-facing analytics use cases.
Introducing the AWS S3 Data Source: Power customer-facing analytics from Parquet files in your S3 bucket
You can now power customer-facing analytics use cases such as insights dashboards, product usage reporting, or analytics APIs with Parquet f
Introducing Propellers: Easily select the optimal cost and query speed for each Customer-Facing Analytics use case
Propellers equip developers with an easy way to select the optimal cost and query speed for each customer-facing analytics use case.
Why do product and data teams struggle to work together?
Product and data teams struggle to work together because there's a tradeoff in data between flexibility, performance and cost-effectiveness.
How to build in-product analytics with Snowflake and GraphQL
Propel Data is excited to announce support for Snowflake. Developers are now able to build on top of GraphQL APIs powered by Snowflake data.
You could be building more
Get a product demo to see how Propel helps your product dev team build more with less.