Do I need a separate data warehouse for my Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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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← All connectors/Application Database

§ Connector · Popular

Microsoft SQL Server

Analyze your Microsoft SQL Server data with AI today.

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

See Microsoft SQL Server in Definite →Try it free

Have multiple Microsoft SQL Server accounts? Analytics across multiple Microsoft SQL Server accounts →

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

§ Live with

§ What you get

Everything Microsoft SQL Server exposes, modeled and queryable.

Extracts structured relational data from Microsoft SQL Server databases. Replicates user-selected tables and views via full-table or incremental sync, enabling analytics over enterprise data without manual ETL.

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

◆Table

User-selected database tables replicated via full-table or incremental (key-based) sync; the primary extraction path for transactional and operational data.

general_data_storage

◆View

Database views accessible as read-only data sources; enables extraction of pre-joined or pre-aggregated datasets defined in the source.

general_data_storage

◆Schema Catalog

Table and column metadata including data types, primary keys, and constraints; powers catalog discovery for downstream consumers.

general_data_storage

Authentication

Connects using your SQL Server username and password, or uses Azure Entra ID (DefaultAzureCredential) to obtain an access token for Azure SQL

Requirements

Requires a Microsoft SQL Server account to connect.

Domainsgeneral_dataoperations