10+ Best Data Warehouse Software 2023

Azure SQL delivers a powerful cloud-based data warehouse that empowers organizations with the ability to process large relational and non-relational data volumes while maximizing data protection and providing SQL data warehouse capabilities that supercharge big data analytics and enterprise data warehousing. It is a large-scale relational database technology with massively parallel processing (MPP) ability similar to Snowflake and Amazon Redshift.

Pivotal Greenplum is the first-ever fully-featured, massively parallel processing (MPP) data warehouse delivered in a multi-cloud environment through the open-source Greenplum Database. The platform is powered by an exceptionally sophisticated cost-based query optimizer as it delivers unparalleled massive data volume analytical query performance. This advanced analytics provides comprehensive, aggregated multi-structured data analytics, that practically measure up with the conventional business intelligence (BI).

Rubrik is a leading cloud data management software that delivers end-to-end solutions for data protection, compliance, and analytics with hands-free management and easy cloud adoption in a single data fabric across multiple data centers. It is the first-ever platform that orchestrates data for multi-cloud enterprises as it combines next-generation architecture with consumer-level simplicity to lead a fresh and novel approach to the old data management challenges. 

Panoply is a fully-managed extract/load/transform (ELT) and cloud data warehouse derived from Amazon Redshift, a powerful data warehouse that uses SQL in analyzing structured and unstructured data. Panoply requires no complicated code to connect to over 40 data sources while automatically conserving raw data into analysis-ready tables and creating core business logic for consistent metrics.

Dremio is a non-proprietary self-service data warehouse that helps modernize data infrastructure to spur SQL query acceleration with high-performing business intelligence dashboards as well as interactive analytics. It features an array of powerful tools for data lineage documentation and tracking with seamless support to major third-party analytic databases and rapid-fire analytical algorithms.

Teradata Vantage is a cloud-first enterprise-wide integrated data warehouse offering exceptional agility to data management through analytics-based insights with combined commercial and open-source analytic technologies designed to deliver a transformative methodology to global companies. It is a unified data and analytic framework that comes with a cross-engine orchestration layer that facilitates the flow of the right requests for data and analytics toward the right analytic engine in an ultrafast data fabric.

Vertica offers a high-performing unified analytical warehouse that empowers organizations to seamlessly keep up with the growing size and complexities of their incredibly massive data volumes. A cost-effective platform that helps users derive maximum value from their data, Vertica significantly reduces total cost of ownership (TCO) as well as minimizes time spent on identifying performance issues.

BigQuery is a cloud-based serverless data warehouse that offers accelerated SQL queries with scalable analysis over several petabytes of data. As a fully-managed Platform-as-a-Service (PaaS), BigQuery supports querying through ANSI SQL and modernizes the analytics warehouse with machine learning capabilities for better results. It leverages a columnar storage paradigm to spur the speed of data scanning and a tree architecture model for simpler and more efficient data queries and data aggregation.

IBM Db2 is a fully-managed, enterprise-class database engine that transforms data management using AI-powered applications. It is a high-performance family of IBM’s data management products that helps modernize both structured and unstructured data on-premises and in hybrid or multi-cloud environments. It fuels businesses with meaningful AI solutions while keeping data simple and accessible.

Snowflake is a robust fully-managed data warehouse platform that enables users to build data-driven applications with no operational requirement. It is built on top of either the Amazon Web Services cloud infrastructure or Microsoft Azure that brings in a single platform not only for data warehousing but also for data engineering, data lakes, and data science. It boasts out-of-the-box features such as scalable compute, independent storage and compute, data cloning, data sharing, and third-party tool integrations that give organizations the capacity to keep pace with the growing needs of the enterprise.