Evaluating HTAP Databases for Machine Learning Applications
Businesses are producing a greater number of intelligent applications; which traditional databases are unable to support. A new class of databases, Hybrid Transactional and Analytical Processing (HTAP) databases, offers a variety of capabilities with specific strengths and weaknesses to consider. This article aims to give application developers and data scientists a better understanding of the HTAP database ecosystem so they can make the right choice for their intelligent application. By Monte Zweben, CEO Splice Machine. HTAP is a term coined by The Gartner Group to describe a class of database systems that are Hybrid Transactional and Analytical Processing Systems. These systems exhibit the transactional capabilities of operational databases such as Oracle, SQL Server, DB2, MySQL, and Postgres as well as the capabilities of analytical systems such as Teradata, Netezza, and…
Link to Full Article: Evaluating HTAP Databases for Machine Learning Applications
Evaluating HTAP Databases for Machine Learning Applications
