— Technology we master

Apache Spark

The distributed analytics engine for processing terabytes.

Spark processes massive data volumes in-memory across a distributed cluster. Its APIs (DataFrame, SQL, Streaming, MLlib) cover batch, stream and machine learning. Coupled with Delta Lake, it's the foundation of modern lakehouses.

Why Apache Spark

What Apache Spark brings to your project.

Typical use cases: Large-volume ETL, lakehouse, distributed ML training.

  1. 01

    In-memory distributed processing: orders of magnitude vs Hadoop.

  2. 02

    Python, Scala, SQL, R APIs: heterogeneous teams accommodated.

  3. 03

    Structured Streaming for near-real-time processing.

  4. 04

    Databricks, EMR, Dataproc: managed across three clouds.

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A project with Apache Spark?

Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.

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