Product
Product overview

Connect, govern, activate, intelligence.

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AWS native architecture

Your data. Your account. Your control.

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Capabilities
Connect & ingest

All your data, connected.

Transformations

Clean data, automatically.

Activations

Governed data, put to work.

Trusted intelligence
Security & governance

Control without compromise.

Intelligence

Data that thinks ahead.

Data movement
SaaS replication
Data replication
File replication
SAP replication
reverse ETL
Solutions
Use cases
Data modernization

Modernize fragile data infrastructure.

Data connectivity

Unify data across every system.

AI readiness

Move AI from pilot to production.

Pipeline automation

Automate ingestion at scale.

Self service analytics

Query trusted data directly.

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Manufacturing
Logistics
Best ETL tools for 2026: the executive guide to cloud data integration

Discover the best ETL tools for 2026 and how to choose the right platform.

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Why intelligent data processing requires agentic reasoning and LakeStack architecture

Intelligent data processing does something different. It observes patterns, draws inferences, adapts to conditions that were not explicitly anticipated, and produces outputs that improve over time.

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Data Engineering

Insights on

Data Engineering

Dive into curated insights and stories on how technology, leadership, and innovation are shaping the future of business.

Data Engineering
ETL vs ELT explained: a complete 2026 guide for CTOs and CDOs
LakeStack Team
March 1, 2026
Understand the difference between ETL and ELT and when to use each approach.
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Data Engineering
Reverse ETL explained: what it is, how it works, and the best tools in 2026
LakeStack Team
March 1, 2026
Learn what reverse ETL is, how it works, and how it activates data in operational tools.
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Data Engineering
A comprehensive guide to ETL pipelines
LakeStack Team
March 1, 2026
Learn what ETL pipelines are, how they work, and how to design scalable data workflows.
Read the blog
Data Engineering
Best ETL tools for 2026: the executive guide to cloud data integration
LakeStack Team
March 1, 2026
Discover the best ETL tools for 2026 and how to choose the right platform.
Read the blog
Data Engineering
What is change data capture? The complete 2026 guide for IT decision makers
Manpreet Kour
March 1, 2026
Change data capture (CDC) is the process of identifying and tracking changes, inserts, updates, and deletes, made to a database in real time, and propagating those changes to downstream systems such as data warehouses, data lakes, analytics platforms, or other operational databases.
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Product capabilities
Data ingestion
Data transformation
Governance & Security
Data activation
Data intelligence
Data movement
SaaS replication
Data replication
File replication
SAP replication
reverse ETL
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