Remove blockers
One language across telemetry
Move faster with one syntax across platform tools, APIs, and AI. Dynamic schema and AI agents remove the learning curve for any user.
DataPrime
The query language built for observability: one AI native language to explore, correlate and transform any data, at any stage.
14 days, all features, no credit card required.
DataPrime
Turn raw data into answers
Remove blockers
Reveal more insight
Explore and transform any event
Query, join, and reshape all signals and business events. Apply rules or logic at any depth, live or from storage, in a single statement, without reindexing.
Drive better decisions
From raw data to business insight
Deliver business impact to leaders and teams directly from production signals, unifying Infra, app, and user activity in reusable, shareable output.
One language
One language across all telemetry
Agent-ready from day one
The execution layer for AI observability
DataPrime is how AI understands and acts on telemetry. It maps telemetry on ingest and understands evolving schemas, so agents can correlate signals and troubleshoot with accurate, explainable actions. Dataspaces and Datasets create domain boundaries and clean schemas for improved context management, accuracy, and speed.
Shape any data into insight
Universal correlations and transformations
DataPrime lets you join across event types, time ranges, and storage tiers so you can filter, calculate, aggregate, and reshape data all in a single statement. Enrich telemetry with lookups and business context, correlate any operational or business event, and go from raw events to meaningful organizational intelligence.
One language across the platform, at any stage
The same syntax from ingest or storage, across the platform
DataPrime participates at every stage of the data journey. It parses and enriches telemetry on ingest, reaches into archived storage without reindexing, and drives real-time exploration, dashboards, alerts, and APIs. One consistent language means skills compound and automation carries across the entire platform.
Built to be expressive
An observability native language teams actually want to use
DataPrime's intuitive, pipe-based, expressive syntax lets you chain operations naturally that follow what you want. An IDE-style editor with schema-aware autocomplete and AI-assisted query building help any team get results on day one without onboarding.
Capabilities
DataPrime features
01
Explore and transform
Pipe-based expressive syntax
Chain operations naturally in a readable, composable flow that does exactly what you mean.
Cross-signal correlation and joins
Join logs, traces, metrics, and business data across datasets, time ranges, and storage tiers in one query.
Filter, calculate, aggregate, and reshape
Apply logical operations at any depth to turn raw events into precise, structured output.
Nested and semi-structured data handling
Parse and query deeply nested JSON, arrays, and unstructured fields without preprocessing.
Live or from storage, no reindexing
Run the same query against real-time data or archived storage, no reindexing or schema changes required.
Enrich with lookups and business context
Enrich telemetry inline with reference data and business metadata as you query.
02
Unified language
IDE-style editor
Full-featured editor with syntax highlighting, inline validation, and field previews.
Schema-aware autocomplete
Suggests fields and functions based on your actual data schema as it evolves.
AI-assisted query building
Translate natural language prompts into working DataPrime queries instantly.
Schema-on-read
Data is mapped at ingest without locking into fixed schemas, so queries adapt as data changes without breaking dashboards or workflows.
One syntax across the platform
The same language works across Explore, Dashboards, Alerts, Custom Views, and APIs, no context switching or re-learning.
DPXL for ingest-time parsing and transformation
Shape and route data before it’s stored using the same language you query with.
03
More intelligence
Agent-ready execution
DataPrime maps telemetry on ingest so AI agents can correlate and act on data with accurate, explainable context.
Dataspaces and Datasets for domain context
Domain boundaries and clean schemas give agents and teams scoped, reliable data to work from.
Connect production signals to business events
Correlate infra and app signals with business data to measure impact and surface organizational insight.
Unify infra, app, and user activity
Query across all signal types in one statement to get a complete picture of system and user behavior.
Reusable, shareable output
Build queries and views that teams can share, reuse, and build on without starting from scratch.
Platform
Scalable observability for your systems
In-stream analysis
Continuous, real-time monitoring of AI interactions, detecting risks and performance issues before they impact users.
Infinite retention
Archives all system logs indefinitely, enabling deep historical audits and preventing data gaps without ballooning storage costs.
DataPrime engine
Transforms any incoming data for advanced querying, revealing hidden patterns without manual preparation or complexity.
Remote, index-free querying
Enables rapid searches across your infrastructure data, eliminating indexing overhead and cutting operational expenses instantly.
AI ready at scale
Observability that was built for AI,
Observability that was built for AI,
not repackaged for it
Run your agents and teams on the right foundation, so they don't approximate, they know
14 days, all features, no credit card required.
<1msAlert detection time
99.9%Platform uptime
10xData ingestion capacity