Delta Lake

Delta Lake

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Storage Layer

Open source storage layer providing ACID transactions on data lakes.

Open Source employees
Open Source Project
Founded 2019
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Product Overview

Delta Lake

Delta Lake is an open-source storage framework that brings ACID transactions to Apache Spark and big data workloads. It provides reliable data lakes with schema enforcement, time travel, and unified batch and streaming data processing.

Unique Value Proposition

The original lakehouse format deeply integrated with Spark and Databricks ecosystem. Delta Lake provides the most mature implementation with features like Z-ordering, automatic optimization, and native streaming support built for production workloads.

Categories

Table Format
Data Lake
Data Lakehouse
Storage Layer
Streaming Storage

Target Market

Industries

Technology
Financial Services
Retail
Healthcare
Media & Entertainment
Manufacturing

Company Size

500 - 50000 employees

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Key Features

ACID Transactions
Time Travel
Schema Enforcement
Schema Evolution
Audit History
DML Operations
Streaming Source & Sink
Z-Ordering
Auto Compaction
Data Skipping
Bloom Filters
Change Data Feed
Deletion Vectors
Liquid Clustering
UniForm Support

Integrations

Apache Spark
Databricks
Azure Synapse
Amazon EMR
Presto
Trino
Apache Flink
Apache Hive
Snowflake
BigQuery
Redshift
Power BI
Tableau
dbt
Apache Kafka
API Available
View Docs

Security Features

Column-Level Access Control
Row-Level Security
Data Masking
Encryption at Rest
Audit Logging

Implementation & Support

Implementation Time

5 weeks (30 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Community Support