Datarelax is an AI data platform for modeling, lineage, pipelines and analytics. Review of features, integrations and pricing from $9/month.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Datarelax is an AI-assisted data platform that brings data modeling, ingestion, lineage tracking, pipelines and analytics into one workspace. The company describes it as a way to design and operate a data platform from ingestion to analytics, using natural-language prompts. The connected workspace is called Datarelax Universe, and the site positions it as an alternative to keeping these jobs in separate tools.
The company was founded in 2025 by data engineers who say they were frustrated by fragmented tooling, manual schema changes and slow dashboard setup. Development began in mid-2025, and the Universe launched in 2026. Datarelax describes itself as a small, remote-first team, and its stated focus is agentic analytics, where AI agents use models and lineage as context.
A typical workflow starts with a prompt describing a data model, dashboard, pipeline or lineage question. The AI assistant generates a DBML schema, which can be refined in a visual drag-and-drop editor. Models are versioned, and the platform generates DDL so the schema can be deployed straight to a connected database, with deployments tracked in audit logs.
Once models exist, lineage is extracted automatically from SQL mappings and shown at column, table and model level. Pipelines move data between sources and targets, and the analytics module answers questions against the same governed context. The company says this lets users go from schema design to deployment, pipeline runs and analytics without switching tools.
The modeling features include a visual DBML editor, AI-powered schema generation and modification, source and converted model management, semantic versioning, and data loading script management. Lineage features cover column-level tracking, interactive diagrams, multi-model filtering, cross-model dependency mapping, impact analysis for model changes and upstream and downstream tracing.
Operational features include a visual pipeline builder with DAG-based orchestration, scheduling, monitoring, retries and custom Python or SQL transformations. Ingestion supports drag-and-drop uploads, cloud storage and automatic schema detection. Analytics adds natural language queries, an interactive dashboard builder, custom charts, and scheduled reports and alerts. Connectors use encrypted credentials, connection testing, pooling and SSL/TLS.
Datarelax is an AI-assisted data platform that combines data modeling, ingestion, lineage tracking, pipelines and analytics in one workspace called Datarelax Universe. Users can start from a prompt to generate models, dashboards and lineage, then deploy to a database.
Starter costs $9 per month ($90 billed yearly), Pro costs $50 per month ($500 yearly) and Enterprise costs $250 per month ($2,500 yearly). Plans differ by AI credits and by limits on models, dashboards and connectors.
Yes. The site offers a Starter trial and says no credit card is required to start. If you do not upgrade when the trial ends, you are moved to the Starter plan and your data is preserved for 30 days.
Yes. The pricing page describes a 30-day money-back guarantee for all paid plans.
Datarelax supports PostgreSQL, MySQL, MongoDB, SQL Server, Snowflake and SQLite, and the features page also lists Oracle. Credentials are stored encrypted, and connections can be tested and monitored.
It suits data engineers and small analytics teams that want modeling, lineage, pipelines and dashboards in one place. It is most useful for teams managing evolving schemas or needing column-level lineage.
Yes. The AI assistant generates DBML schemas from natural language and can modify existing models. Generated models can be versioned and deployed to a connected database as DDL.
The company states it is deployed entirely on AWS infrastructure and follows SOC 2 Type 2 standards. Database credentials are encrypted, and connections support SSL/TLS.