Managed Service for Apache Spark

Process large-scale datasets using Apache Spark in the Nebius infrastructure.

The service is provided free of charge and is at the Preview stage.

Low upkeep

Focus on building queries, not infrastructure. We maintain and optimize Spark for you, so you can concentrate on your data processing tasks.

Big data processing

Effortlessly handle large-scale data jobs. Easily manage jobs for calculations on large amounts of data during your dataset preparation.

Easy scaling

Scale in seconds. Add new Spark clusters or increase their capacity quickly, with configurable resource usage limits to match your needs.

Serverless solution

Resources are spent flexibly only on what you need. Control your consumption, which includes running jobs, active sessions, and configured History Server.

Diverse types of access

Interact with Spark from the environment where you are most comfortable. The service supports various interfaces, from CLI and UI to IDE and Jupyter Notebooks.

ML/AI cycle use cases where this service is essential

Ad-hoc calculations

Make analytical calculations over your raw data or final datasets. Check your ad-hoc hypotheses before training by running analytical jobs, ensuring your data is ready for the next step.

Preparing datasets
for fine‑tuning

Utilize a familiar Spark SQL framework for your data engineering team to prepare datasets for fine-tuning your models. Ensure high-quality data preprocessing while allowing your team to work efficiently with tools they are comfortable with.

Preparing datasets
for distributed training

Extract, process, and analyze large-scale raw data. Handle terabytes and petabytes of raw web data, such as Common Crawl, to prepare extensive training datasets for distributed machine learning models.

We take care of most service maintenance

Managed Service for Apache Spark
Apache Spark self‑installation
Access control
Runtime environment
History Server backup and recovery
Software and hardware security
Integration with Nebius services
Monitoring tools
Logging tools

Customer control

Control on the Nebius side

Questions and answers about Managed Service for Apache Spark

What is Apache Spark?

Apache Spark is an open-source unified analytics engine designed for large-scale data processing. Spark is widely used for a variety of big data applications, including batch processing, stream processing, machine learning and graph computation.

Apache and Apache Spark ( are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.