Do I need a separate data warehouse for my Datadog 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 Datadog 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 Datadog 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 Datadog 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 Datadog 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 →

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← All connectors/DevOps & Monitoring

§ Connector · Popular

Datadog

Analyze your Datadog data with AI today.

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

Watch the demo →Try it free

Have multiple Datadog accounts? Analytics across multiple Datadog accounts →

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

§ Live with

§ What you get

Everything Datadog exposes, modeled and queryable.

Extracts Datadog observability data: aggregated application logs for Degreed API hosts, APM request latency time series, and SLO performance history across US, EU, and CA production regions. Enables analysis of API performance and reliability trends, latency monitoring, and SLO reporting over time.

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

◆API Request Logs

Aggregated application request logs grouped by HTTP status, organization, path template, and method; used to monitor traffic, error rates, and endpoint-level performance such as average latency.

infrastructure_devops

◆APM Request Duration Metrics

Time-series metrics for request latency from APM tracing; enables latency trend monitoring (e.g., p50/p95), performance regression detection, and SLI calculations.

infrastructure_devops

◆Service Level Objective (SLO)

Historical SLO performance for production regions; supports reliability reporting, error budget burn analysis, and regional comparisons.

infrastructure_devopsoperations

Authentication

Uses your Datadog API key and Application Key (DD-API-KEY and DD-APPLICATION-KEY) to authenticate API requests

Requirements

Requires a Datadog account to connect.

Domainsinfrastructure

§ How it works