Autolake - Governed Agentic Data Lakehouse Platform

Autolake deploys a governed, agentic data lakehouse into your AWS account with automated ingestion, transformation, observability, and AI analytics. Teams use Autolake to launch production-ready lakehouse infrastructure in hours instead of manually assembling S3, AWS Glue, Athena, Lake Formation, Step Functions, Bedrock, and monitoring workflows from scratch.

Autolake is built for data engineering, platform engineering, analytics, and AI teams that need to launch or modernize an AWS data lake quickly. It is especially useful for organizations standardizing ingestion, transformation, governance, observability, and AI-powered analytics across multiple data sources, business units, or environments.

With Terraform automation, Autolake provisions the core AWS infrastructure for the platform in your account, including S3, AWS Glue, Athena, Lake Formation, Step Functions, Lambda, DynamoDB, API Gateway, CloudFront, Cognito, Secrets Manager, KMS, monitoring resources, and optional AI services such as Amazon Bedrock. The result is a production-oriented control plane and data lake foundation that teams can operate through a modern web interface.

Core workflows include:

Deploy: Launch hub and spoke data lake environments with Terraform, environment labels, tagging, budgets, identity controls, and guided setup.

Ingest: Connect databases, SaaS applications, APIs, files, and streams. Run full, incremental, and snapshot ingestion with scheduling, schema evolution, pipeline chaining, and replication patterns.

Transform: Use built-in support for dbt, Databricks, and Informatica to curate raw data into analytics-ready models, marts, and governed distribution zones.

Govern: Apply Lake Formation permissions, masking and obfuscation patterns, data quality rules, sensitive data classification options, and centralized metadata management.

Observe: Monitor pipeline health, ingestion status, workflow runs, data quality, lineage, storage, query behavior, and estimated AWS costs from a central control plane.

Query with AI: Use Bedrock-powered natural language analytics to ask questions about governed datasets, generate SQL, inspect metadata, and accelerate exploration.

Autolake Marketplace subscription charges do not include AWS infrastructure usage. Because Autolake deploys and operates AWS resources in your AWS account, you are responsible for the AWS service charges generated by those resources in addition to your Marketplace subscription.

Plan guidance:

Autolake Business Trial: A no-cost, approval-gated proof-of-concept evaluation plan for approved customers. Use this to evaluate deployment, ingestion, governance, observability, and AI analytics before upgrading to Autolake Personal, Business, or Enterprise.

Autolake Personal: Best for independent operators, consultants, and small professional services firms such as accounting, staffing, recruiting, consulting, agencies, and similar teams that want a low-cost paid Autolake deployment with governed ingestion, observability, and AI analytics.

Autolake Business: Best for teams ready to operate Autolake in production with the full platform, governed ingestion, transformation workflows, monitoring, and AI analytics.

Autolake Enterprise: Best for organizations that need enterprise-scale governance, advanced controls, architecture support, and broader rollout across teams or environments.

Premium Support Add-on: Optional priority onboarding and customer success support for paid Autolake plans.