Managed Service for Apache Spark™
A fully managed data processing engine designed to simplify and accelerate data engineering and ML workloads.
The service is provided free of charge and is at the Preview stage.
Fast data processing
Thanks to in-memory processing and reusing data across multiple parallel operations, Managed Spark can process data for your ML pipeline faster than most big data engines.
Reduced complexity
Managed Spark streamlines your ML and data processing routines by handling server configuration and infrastructure maintenance on the provider’s side.
Cost-efficiency
Using Managed Spark simplifies compute provisioning and minimizes idle capacity, making it perfect for ad hoc data calculations and reducing your total data processing overhead.
Use cases
Data exploration
Explore new datasets and easily check your hypotheses by getting quick insights before running full-scale data training jobs.
Data transformation
Extract, transform and load even petabyte-scale datasets to your ML pipeline with no additional complexity or long waiting time.
Data drift detection
Run various checks on your datasets to detect data drift and biases, improving your model’s accuracy.
How it works
How it works
Managed Service for Apache Spark helps prepare datasets for model training.
Service features
Serverless solution
Run big data processing without the need to configure and set up server environment manually.
Autoscaling
Handle extensive datasets without worrying about the limits of computing capacity and availability issues.
Comprehensive ETL engine
Write your ETL and ELT code right in the Spark environment to prepare data sets for your ML pipelines.
In-memory processing
Using in-memory data processing and caching makes Spark faster than most available data engines.
Simplified coding
Write in Java, Scala, R, SQL or Python, and enjoy Spark’s APIs, providing high-level operators that dramatically lower the amount of code required.
Easy management
Use GUI, CLI, IDE or Notebooks to access the Spark environment.
Questions and answers about Managed Service for Apache Spark
What is 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.
What Apache Spark versions are available in Nebius AI?
What Apache Spark versions are available in Nebius AI?
Does Managed Spark have monitoring?
Does Managed Spark have monitoring?
How flexible is the resource allocation process for Managed Spark?
How flexible is the resource allocation process for Managed Spark?
Join as an early adopter during the preview stage
More to know
Apache and Apache Spark (http://spark.apache.org/) are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.