Do I need a separate data warehouse for my Prometheus data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your Prometheus data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my Prometheus data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your Prometheus data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect Prometheus data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Explore private deployment →

Explore with AI

← All connectors/DevOps & Monitoring

§ Connector

Prometheus

Analyze your Prometheus data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your Prometheus data, no complex infrastructure to maintain.

Watch the demo →Try it free

Have multiple Prometheus accounts? Analytics across multiple Prometheus accounts →

Want it to watch your Prometheus data and act on its own? Meet the Prometheus agent →

§ Live with

§ What you get

Everything Prometheus exposes, modeled and queryable.

Extracts Prometheus time-series metrics defined by user-specified PromQL range queries. It outputs timestamped metric values with optional label dimensions, enabling analysis of trends, peaks, capacity/utilization, SLO tracking, and other monitoring insights across environments or customers.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

3 objects

◆Metric Time Series

Timestamped values of Prometheus metrics over a defined window; enables trend analysis, peak/anomaly detection, capacity/utilization monitoring, and SLO/SLA compliance tracking.

engagementdevelopment

◆Label Dimensions

Key-value attributes attached to metrics (e.g., job, instance, service, environment, customer) used for segmentation, breakdowns, grouping, and cohort comparisons across time series.

customermarketing

◆PromQL Query

Analytical expressions that define and compute raw or derived metrics and aggregations; supports rollups, ratios (e.g., error rate), percentiles, and composite KPIs across services and environments.

supportengagement

Authentication

Uses HTTP Basic Authentication with a username and password (optional, if your Prometheus endpoint requires it)

Requirements

Requires a Prometheus account to connect.

§ How it works