Introduction ​

Datable is a real-time, stateful processing engine for log, metric, and trace data. Datable makes it easy for individuals and teams to build custom data pipelines that can do just about anything. Enforce standardization, ensure regulatory compliance, activate operational data, or improve your signal-to-noise ratio - it's all possible with just a few lines of JavaScript.

How it works ​

1. Point collectors and/or agents at Datable.io to begin ingesting telemetry.
2. Write custom transformations against your telemetry in JavaScript.
3. Point your refined data at downstream consumers like observability vendors, analytical stores, S3, and more.

Capabilities ​

Datable is a flexible tool that enables engineering teams to clean, manage, and own their telemetry.

Common use cases include:

• Advanced filtering and sampling: Limit the amount of logs, metrics and traces you send to vendors to reduce cloud costs.
• Masking PII: Administer data governance policies to ensure regulatory compliance.
• Data structuring and standardization: Create organization-wide standards to improve data usability and reduce MTTR.
• Easy routing: Route data between vendors and tools to break vendor lock-in and consolidate toolchains.
• Self-serve pipelines: Reduce the cost and friction to activate telemetry data for teams across your organization.