Seamless Database Ingestion
From Connection to Insight

Extract, load, and analyze data from leading databases with minimal configuration. Secure, scalable, and built on your own infrastructure.

Our three-step process to ingest data from any source.

Step 1: Choose Your Source

Connect structured or unstructured data from anywhere — databases, APIs, files, SaaS apps, streams, and more. AutoLake supports a wide range of sources to help you build a unified lake in minutes.

AI transcription and meeting features interface
Data ingestion and pipeline automation interface
Data ingestion and pipeline automation interface
Data analytics and insights dashboard interface

And just like that, your data is ready!

With AutoLake's intuitive pipeline, you've successfully set up your data ingestion in just three simple steps. Your data is now flowing seamlessly into your data lake, ready for analysis and insights.

Data Lake Process Flow

Compare AutoLake's streamlined approach with traditional complex data integration processes.

Source Systems

Ingestion

Processing

Analytics

Consumption

Transformation Process

AutoLake Advantages

  • Streamlined 5-step process vs. 9+ traditional steps
  • 95% faster implementation time
  • Automated schema detection and mapping
  • Automatic data catalog generation
  • Automatic data profiling
  • Automatic data obfuscation
  • Automatic data migration
  • Automatic data replication
  • Automatic data encryption
  • Automatic data deduplication
  • Automatic anomaly detection
  • Automatic pipeline generation

Detailed Benefits by User Type

Discover how AutoLake transforms data workflows for every role in your organization

Data Scientists

Access and analyze raw data through SQL queries, enabling advanced analytics without complex data preparation steps.

Key Features

  • Single access point for raw data
  • SQL-based data cataloging
  • Iterative analysis without data preparation

Real-World Examples

  • Run SQL queries on raw data instantly
  • Build ML models with clean data
  • Analyze trends without preparation delays

Data Engineers

Build reliable data pipelines with flexible extraction options and guaranteed data integrity.

Key Features

  • Full & incremental extraction options
  • Action-based record identification
  • Primary key enforcement

Real-World Examples

  • Reduce pipeline development by 60%
  • Automate schema detection
  • Monitor data quality in real-time

Data Consumers

Gain immediate access to trusted data sources through a self-service model, enabling faster business decisions.

Key Features

  • Transparent access to raw data
  • Single source of truth
  • Self-service insights

Real-World Examples

  • Create dashboards without IT assistance
  • Make data-driven decisions 40% faster
  • Access trusted data from one platform

Stakeholders

Optimize costs with a pay-per-use model while ensuring proper governance and compliance.

Key Features

  • Cost-effective, pay-per-use model
  • Data Lake as a Service approach
  • Enhanced governance and compliance

Real-World Examples

  • Reduce infrastructure costs by 50%
  • Achieve ROI within 3-6 months
  • Meet regulatory requirements

Standards-based data connectors

The most comprehensive collection of data drivers. Anywhere.

Adobe Analytics logo

Adobe Analytics

Analytics

Adobe Marketo Engage logo

Adobe Marketo Engage

Marketing

Amazon Aurora logo

Amazon Aurora

Database

Amazon DocumentDB logo

Amazon DocumentDB

Database

Amazon DynamoDB logo

Amazon DynamoDB

Database

Amazon OpenSearch Service logo

Amazon OpenSearch Service

Search

Amazon Redshift logo

Amazon Redshift

Data Warehouse

Asana logo

Asana

Project Management

Azure Cosmos logo

Azure Cosmos

Database

Azure SQL logo

Azure SQL

Database

Binary logo

Binary

File Format

Blackbaud logo

Blackbaud

CRM

Ready to Transform Your Data Infrastructure?

Join hundreds of companies using AutoLake to build scalable, autonomous data lakes.