Top 10 Alternatives to Amazon Redshift Recently Reviewed By G2 Community
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How it works
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.
Making big data simple
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.
Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
IBM Netezza Performance Server is a purpose-built, standards-based data warehouse and analytics appliance that integrates database, server, storage and analytics into an easy-to-manage system. It is designed for high-speed analysis of big data volumes, scaling into the petabytes.
Panoply delivers the world’s only unified, ETL-less Smart Data Warehouse, expediting the journey of migrating raw data to analytics using machine learning and natural language processing.
Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.