Best Data Warehousing Products in 2025

A fully managed data warehouse for large-scale data analytics.

Key Google BigQuery features:

Scalability Speed Integrations Automatic Optimization

Open Source

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Key Google Cloud Dataflow features:

Scalability Fully Managed Unified Programming Model Integration

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Key Amazon EMR features:

Scalability Cost-effectiveness Ease of Use Managed Service

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Key Snowflake features:

Scalability Performance Ease of Use Data Sharing

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Key Databricks features:

Unified Data Analytics Platform Scalability Collaborative Environment Performance Optimization

Open Source

Learn about Amazon Redshift cloud data warehouse.

Key Amazon Redshift features:

Scalability Performance Integration Cost-effective

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Key Qubole features:

Scalability Multi-cloud Support Unified Interface Cost Management

Open Source

Snowflake Computing is delivering a data warehouse for the cloud.

Key Snowflakepowe.red features:

Scalability Ease of Use Data Sharing Security Features

Open Source

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Key ClickHouse features:

High Performance Scalability Real-time Data Ingestion Cost Efficiency

Open Source

Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

Key Azure HDInsight features:

Scalability Managed Service Cost-effectiveness Integration with Azure Ecosystem

Apache Doris is an open-source real-time data warehouse for big data analytics.

Key Apache Doris features:

High Performance Real-time Analytics Unified Analytics Ease of Use

Open Source

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost.

Key Google Cloud Dataproc features:

Managed Service Integration with Google Cloud Scalability Cost Efficiency

Modern Real-Time Data Warehouse.

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