As the race to deliver the UAW heats up, EMA sees the following vendors working toward a convergence of the data warehouse and data lake: Ahana, Amazon, Cloudera, Databricks, Dremio, Google, HPE Ezmeral, Incorta, isima.io, Oracle, SAP, Starburst, Teradata, and Vertica. EMA also anticipates that vendors that successfully deliver a unified analytics warehouse will quickly eclipse data warehouse and data lake vendors, making them obsolete, except for targeted use cases and analytical projects.
The Requirements for a Unified Analytics Warehouse
To assess the likely winners in the race for the unified analytics warehouse, it is important to understand the various requirements of modern analytics programs and the unified analytics warehouse.
The Emergence of the Unified Analytics Warehouse
The race for a unified analytics warehouse is on. The data warehouse has been around for almost three decades. Shortly after big data platforms were introduced in the late 2000s, there was talk that the data warehouse was dead—but it never went away. When big data platform vendors realized that the data warehouse was here to stay, they started building databases on top of their file system and conceptualizing a data lake that would replace the data warehouse. It never did.
