What is 28DataLakes

A cloud-based, fully managed service providing a data platform and automated data integration. As a Data Platform as a Service, we provide the tooling for efficient data engineering (Airflow, Object Storage) and consolidate data from disparate sources into a centralized cloud data warehouse.

Data Integration

Core Philosophies: Data Platform Ownership

28DataLakes was founded on the idea that customers should have the option to run data pipelines in their own infrastructure

Platform Ownership

At any point you can stop your subscription, and we hand over the code and infrastructure. You own the data and the platform completely.

Data Ownership

Data is staged only in your object storage (S3), never saved outside your infrastructure. Choose your own object storage with no additional cost.

No Strings Attached

Leave at any time with full code and infrastructure. Moving data is effortless, reliable, and hands-off—so is your data platform migration.

Competitive Advantage

Why 28DataLakes stands out in the modern data stack

Cost Efficient

We charge per connection and TB of data, not row-by-row like competitors. We use object storage as a staging layer for efficient warehouse loading.

Automated ELT

Extract data with intelligent CDC, load into analysis-ready schemas, and normalize automatically. Heavy transformation left to tools like dbt.

Fully Managed Connectors

Hundreds of pre-built connectors for databases, SaaS applications, and cloud storage. We maintain them and handle API/schema changes.

Analysis-Ready Schemas

Data is transformed into normalized, linked tables with proper foreign keys—not raw JSON blobs. Easy for analysts to query across sources.

Reliability & Transparency

Schema changes are communicated for your approval. Data contracts are never changed without consent. Complete sync logs and error transparency.

Enterprise Governance

Column-level hashing for PII, detailed access controls, SOC 2, GDPR, and HIPAA compliance for large organizations.

The Value Proposition

Massive reduction in engineering time. Speed to insight. Predictable, scalable pricing. Focus on analysis, not plumbing. Enterprise-grade governance.