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

Explore with AI

← All connectors/Data Pipeline

§ Connector

Meltano

Analyze your Meltano data with AI today.

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

See Meltano in Definite →Try it free

Have multiple Meltano accounts? Analytics across multiple Meltano accounts →

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

§ Live with

§ What you get

Everything Meltano exposes, modeled and queryable.

Extracts operational metadata from the Meltano system database, including pipeline run history (runs/job), Singer state snapshots, plugin configuration (plugin_settings), OAuth credential records, users and RBAC mappings (user, role, role_permissions, roles_users), subscriptions, embed tokens, and database migration version. This enables analysis of pipeline reliability and performance (run outcomes, durations, failure trends), configuration auditing and drift, access control and user activity oversight, and environment/state lineage across orchestrations.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

8 objects

◆Pipeline Run

Represents individual Meltano pipeline executions, including status, timings, and associated job; enables analysis of reliability and performance such as success rates, runtimes, failure trends, and SLA attainment.

salesmarketing

◆Job

Defines scheduled or ad-hoc orchestration units that group runs; supports analysis of job health, schedule adherence, run frequency, and per-job failure hotspots.

supportoperations

◆State Snapshot

Captures Singer state checkpoints per stream and environment; used to measure data freshness, last successful sync positions, lag, and lineage across orchestrations.

general_data_storage

◆Plugin Configuration

Stores configuration for extractors, loaders, and transformers; enables configuration auditing, drift detection across environments, and impact analysis of config changes on run outcomes.

marketingengagement

◆Access Control

Models users, roles, and permission mappings; supports governance metrics like privileged access counts, segregation-of-duties checks, and audits of role changes over time.

customersupport

◆Credential

Holds OAuth credentials for connectors; enables security posture monitoring such as credential age, expiry risk, and correlation between credential issues and pipeline failures.

salesmarketing

◆Subscription

Represents notification and alert subscriptions; supports analysis of alert coverage and alignment of alerts with critical jobs and owners.

revenue_financesupport

◆Embed Token

Contains tokens used for embedded analytics access; enables oversight of embed footprint, token expiry risk, and mapping tokens to consumers or applications.

engagementdevelopment

Authentication

Connects using a database connection string (SQLAlchemy URI); for the default local SQLite database, no login is required

Requirements

Requires a Meltano account to connect.

§ How it works