Data Lakehouse Platforms

The fastest, easiest, and most widely used cloud data warehouse. Part of AWS, Redshift delivers fast query performance on petabytes of data using columnar storage, parallel execution, and result caching.

A serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility. BigQuery separates compute and storage, enabling on-demand analysis of massive datasets with zero infrastructure management.

A client-managed, highly flexible operational data warehouse designed for private clouds and containerized deployments. Db2 Warehouse offers in-memory processing and AI-powered query optimization for demanding enterprise workloads.

The cloud data warehouse purpose-built for modern data engineering and development teams. Firebolt enables teams to deliver production-grade data applications and analytics at scale with sub-second query latency on large datasets.

The connected multi-cloud data platform for enterprise analytics that unifies everything — data lakes, data warehouses, analytics, and new data sources and types. Vantage provides advanced query engine capabilities for the most complex analytical workloads.

A cloud data platform that simplifies the process of syncing, storing, and accessing data from multiple sources. Panoply automates data pipeline management, making it easy for data teams to get analytics-ready data without heavy engineering.

An open-source data warehouse software built on top of Hadoop that facilitates reading, writing, and managing large datasets residing in distributed storage. Hive provides a SQL-like interface (HiveQL) for querying big data at scale.

Uniquely designed to connect businesses globally, across any type or scale of data and many different workloads. Snowflake's data cloud platform unlocks seamless data collaboration with near-unlimited concurrency and workload isolation.

The data lakehouse that unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics, and AI use cases. Built on Apache Spark, it offers Delta Lake for ACID transactions on cloud object storage.

Combines the power and richness of data warehouses with the breadth and flexibility of the most popular open-source data lake technologies. Oracle's offering brings enterprise-grade governance, security, and performance to lakehouse architecture.

An easy and open data lakehouse platform designed for teams that know and love SQL. Dremio provides fast SQL queries directly on data lake storage with semantic layer capabilities, data reflections, and self-service analytics.

A single platform for all data with the flexibility to run any analytic and machine learning use case. Cloudera provides enterprise-grade security and governance on open data lakehouse architecture built on Apache Iceberg, Apache Hive, and Impala.

Makes data meaningful with a single business semantic service unifying all data. SAP's cloud-native approach integrates business context directly into the data layer, bridging the gap between IT-managed data and business-ready insights.

Simplify your data architecture by eliminating data silos to effortlessly join analytics and data science. Sesame Software's Relational Junction provides automated data replication and lakehouse integration across enterprise systems.