Getting Started
Introduction
Datable is a real-time data pipeline platform that helps security and observability teams process and route their telemetry data — including logs, spans and OCSF data — with precision and control. It’s designed to give teams the ability to shape their data before it reaches downstream tools, reducing cost, noise, and risk.
Whether you're normalizing logs from multiple vendors, masking sensitive information for compliance, or routing high-value data to the right place, Datable provides the visibility and flexibility to do it confidently.
Why Use Datable?
Modern observability stacks generate massive volumes of telemetry — but not all data is useful, and not every team should have access to everything.
Datable helps you:
- Reduce volume by filtering or sampling unneeded data
- Protect sensitive content with field-level masking and policy enforcement
- Route intelligently by branching traffic based on conditions like source, service, or attributes
- Enhance signal quality using lookups, normalization, and parsing
- Control access with fine-grained RBAC across pipelines, teams, and destinations
Datable gives you full control over what data flows where — and how — making observability smarter, safer, and more cost-effective.
Core Concepts
At the heart of Datable is a flexible, visual pipeline model composed of connected nodes:
| Concept | Description |
|---|---|
| Source | Where data comes from (e.g., New Relic, Syslog, agent-based collectors) |
| Pipeline | A sequence of connected nodes that define how data is processed and routed |
| Node | A functional unit within a pipeline — Transformation, Routing, or Destination |
| Step | An action within a transformation node (e.g., Drop, Mask, Lookup, Sample) |
| Data Type | The type of telemetry flowing through the system — Logs, Spans, or Metrics |
| Destination | Where processed data is sent (e.g., S3, Splunk, Elasticsearch) |
Pipelines are constructed in the visual editor. As data flows through, it can be reshaped, enriched, filtered, or routed based on a series of transformation steps.
Built for Security and Observability Teams
Datable is purpose-built for teams managing sensitive telemetry data across complex environments. Common use cases include:
- Filtering noisy logs before they reach expensive storage
- Masking PII before logs are shared downstream
- Routing logs from specific services to appropriate tools
- Enriching events with contextual metadata for investigations
- Enforcing role-based access so teams see only what they need