Do I need a separate data warehouse for my Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch 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. Request a demo →

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§ Connector · Popular

Elasticsearch

Analyze your Elasticsearch data with AI today.

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

See Elasticsearch in Definite →Try it free

Have multiple Elasticsearch accounts? Analytics across multiple Elasticsearch accounts →

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

§ Live with

§ What you get

Everything Elasticsearch exposes, modeled and queryable.

Extracts JSON documents from your Elasticsearch cluster across user-created indices. The connector auto-discovers indices, reads their field mappings to infer schema, and performs full-refresh syncs of index documents (excluding system indices). This enables consolidating search/application logs, telemetry, ecommerce/catalog data, and other indexed documents for downstream analytics and warehousing.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

2 objects

◆Indexed Document

Individual JSON records stored in Elasticsearch indices (e.g., logs, events, catalog items) that serve as the core analytical rows; enable time-series trends, segmentation, error rates, and aggregate KPIs across fields.

general_data_storageinfrastructure_devopscustomerengagement

◆Index (Dataset)

Logical collections of documents that define dataset boundaries and schema; support per-index reporting such as document volume, freshness/retention, and schema evolution for downstream modeling.

general_data_storageinfrastructure_devopscustomerengagement

Authentication

Connects to your Elasticsearch cluster using either Basic auth (username and password) or an Elasticsearch API key (API key ID and secret). Open clusters without authentication are also supported.

Requirements

Requires a Elasticsearch account to connect.

Domainsinfrastructure

§ How it works