Google Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters.
Pricing varies based on usage
Best Databricks Unified Analytics Platform Alternatives ranked by AI · updated May 2025
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Databricks Unified Analytics Platform is a cloud-based data engineering and collaborative data science platform that provides a collaborative environment for big data analytics and machine learning.
Price: Contact for pricing
🎯 databricks.com/product/data-lakehouse
Top 6 Databricks Unified Analytics Platform alternatives
Amazon EMR is a managed AWS service for running Apache Spark, Hadoop, Hive, and related big-data frameworks on clusters or serverless infrastructure....
Pros
- Deep integration with Amazon S3, Lake Formation, IAM, and other AWS services
- Supports popular open-source engines including Spark, Hive, Trino, and Presto
- Offers both managed clusters and serverless deployment models
Cons
- More cluster and infrastructure management than Databricks or serverless Glue
- Pricing is complex because EMR, compute, storage, and networking are billed separately
- Primarily optimized for AWS environments rather than multicloud portability
Usage-based; EMR and AWS infrastructure billed separately
Cloudera Data Platform is a unified platform for data engineering, data warehousing, machine learning, and analytics.
Pros
- Integrated data management capabilities
- Scalable and secure architecture
Cons
- Complex setup and configuration
- Requires advanced technical expertise
Contact for pricing
Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
Hortonworks Data Platform (HDP) is an open-source software framework distributed by Cloudera for distributed storage and processing of large data sets.
Contact for pricing
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning, and graph processing.
Open-source
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