Best Data Warehouse Software for 2025

Learn about Amazon Redshift cloud data warehouse. Amazon Redshift is a fast, simple, cost-effective data warehousing service. Amazon Redshift gives you the best of high performance data warehouses with the unlimited flexibility and scalability of data lake storage. Get started for free.

Transform your business with a unified data platform. SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data.

Azure Synapse Analytics is a limitless analytics service that brings together enterprise SQL data warehousing and big data analytics services.

Apache Tajo,SQL-on-Hadoop,big data warehouse system on Hadoop,relational and distributed query engine

Oracle Autonomous Data Warehouse is a fully managed cloud data warehouse service that eliminates virtually all the complexities of operating a data warehouse.

Autonomous Data Warehouse eliminates error-prone data management processes with powerful self-driving, self-securing, and self-repairing capabilities. Built on Exadata, it's built on key Oracle Database capabilities: parallelism, columnar processing, and compression. Elastic scaling of compute and storage, without downtime. You only pay for resources consumed.

IBM data warehouse offerings provide performance and flexibility to support structured and unstructured data for analytics workloads including machine learning.

BigQuery is a serverless, cost-effective and multicloud data warehouse designed to help you turn big data into valuable business insights.

Integrates database, server, storage and analytics into a single system with petabyte scalability. Provides a high-performance, massively parallel system that enables you to gain insight from your data. Easy to deploy and manage; simplifies data warehouse and analytic infrastructure.

SAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. It can integrate many different data sources to provide a single, logical view of all the data.

Cloudera’s operational database—powered by open source technologies such as Apache HBase, Apache Phoenix, and Apache Spark.

VMware Tanzu portfolio is a family of products and services for modernizing your applications and infrastructure to deliver better software to production.

Teradata Unity brings together multiple Teradata systems and enables them to perform as one, helping you overcome the challenges of a multi-system environment.

Snowflake is a data cloud solution enabling organizations to run their workloads within a single platform eliminating data silos. The software offers real-time access to an intuitive network of 1000+ business enterprises, monitoring data as providers and consumers. Enterprises can execute diversified analytical workloads as per the accurate location of individual data. Thus delivering a seamless experience across differential public clouds and the regions they are located at. The FedRamp authorized solution ensures complete compliance with multiple industrial and governmental regulations, besides offering a wide variety of cloud data security measures. The robust architecture of Snowflake facilitates native integration between computing, storage and services. Enterprises also get to collaborate across their business ecosystem, get access to shared data sets and services through data marketplace offered by the software. Business houses can generate modern data applications and get them running on Snowflake. Thus offering a robust experience to individual employees, customers and business partners as well.

Built with Teradata Database, our integrated data warehouse (IDW) solutions are used by the world’s largest organizations for actionable insights. Learn more.

Firebolt's serverless architecture connects to your S3 data lake as its data source and to the entire data ecosystem using standard SQL as its destination. Orchestrate Firebolt 100% programmatically using our REST API, JDBC and SDKs. Focus on your data applications, and let us worry about things like performance optimization, storage management and cluster management.

MotherDuck, the groundbreaking analytics data warehouse, elevates cloud scalability and personalized user-level tenancy to new heights. By automatically provisioning a dedicated compute engine, or "duckling," for each user, it enables swift action without the hassle of cumbersome upfront configurations. This innovative approach allows for the establishment of user-specific CPU limits, ensuring a consistent and seamless experience for all. With built-in visibility into cost attribution at the user level, one can predict and proactively manage expenses, eliminating the risk of unexpected bills as usage increases. MotherDuck's effortless integration provides unmatched ease of use, giving users the freedom and control to focus on what truly matters—data analysis and driving growth.

Develop, deploy, and operate data infrastructure and automate data integration projects easily with less cost and risk using WhereScape RED.

Yellowbrick Data Warehouse is a modern, MPP analytic database designed to handle a variety of workloads, ranging from batch to real-time to interactive and mixed. It strive for the highest levels of performance, utilizing the latest in software and hardware protocols. Kubernetes and NVMe are just two examples that are incorporated into the architecture of the database. Additionally, Yellowbrick have implemented a user-friendly and standards-based interface, allowing for compatibility with the PostgreSQL ecosystem. This allows for a cost-effective and reliable solution for even the most demanding analytics and data processing requirements.

ZAP are creators of ZAP Data Hub, ELT data warehouse automation software optimized for Microsoft Dynamics, Sage and Power BI. Visit ZAP for a demo.