Managed by BMSP

Build Lakehouses with Delta Lake

Build reliable, scalable, and open lakehouse architecture with Delta Lake, an open-source storage framework designed to bring reliability, interoperability, and performance to modern data lakes.

Delta Lake is an open-source data storage framework designed to help organizations build lakehouse architectures that are reliable, flexible, and well-suited for modern data workloads.

Delta Lake enables organizations to build format-agnostic lakehouse architectures across multiple compute engines, including Spark, PrestoDB, Flink, Trino, Hive, Snowflake, Google BigQuery, Athena, Redshift, Databricks, Azure Fabric, and APIs for Scala, Java, Rust, and Python. It provides ACID transactions, scalable metadata handling, streaming and batch unification, schema enforcement, time travel, upserts, deletes, and a broad connector ecosystem.

Key Features

ACID Transactions

Protect your data with serializability, the strongest level of isolation

Scalable Metadata

Handle petabyte-scale tables with billions of partitions and files with ease

Time Travel

Access/revert to earlier versions of data for audits, rollbacks, or reproduce

Open Source

Community driven, open standards, open protocol, open discussions

Unified Batch/Streaming

Exactly once semantics ingestion to backfill to interactive queries

Schema Evolution / Enforcement

Prevent bad data from causing data corruption

Audit History

Delta Lake log all change details providing a fill audit trail

DML Operations

SQL, Scala/Java and Python APIs to merge, update and delete datasets

Open storage, reliable data processing, and lakehouse interoperability in one framework

ACID Transactions and Reliable Data Lakes
Delta Lake provides ACID transactions to help ensure consistent data reads and writes, reducing data corruption and improving reliability for data engineering and analytics workloads.

Streaming and Batch Unification
A Delta Lake table can work as both a batch table and a streaming source or sink, allowing streaming ingestion, batch backfills, and interactive queries to work together.

Schema Enforcement and Time Travel
Delta Lake helps prevent bad records during ingestion through schema enforcement and supports data versioning for rollbacks, audit trails, and reproducible machine learning experiments.

The Delta Lake solutions we provide include:
– Data Lakes

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Using Aryaka solutions with BMSP helps organizations modernize their network with a cloud-first, fully managed SD-WAN and SASE platform. BMSP delivers and manages Aryaka services to ensure secure, high-performance connectivity across branch offices, remote users, cloud, and data centers.

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