TECH BUYER Jun 2019 - IDC Perspective - Doc # US45179219
Choosing the Right Database Technology in the Age of Digital Transformation
This IDC Perspective considers the dizzying range of options facing most users looking to build or implement new data applications addressing new workloads, modernize their existing workloads, or introduce new data-driven capabilities into the enterprise. It examines the data landscape, showing where the various types of workloads and technologies fit, and provides a list of example vendors and products that address those various needs.
"The data management landscape can be very confusing. So many vendors, with very different technologies, tend to make competing claims in a wide variety of use cases," says Carl Olofson, research vice president for Data Management Software research at IDC. "While a wide range of technologies can be used to do a variety of jobs at a simple level, specialized technologies are usually best when dealing with tasks that require specific functionality operating with a high degree of precision on large volumes of data and that feature scalability, data structure flexibility, integrity, or some combination of these."
Teradata Corporation, InfluxData Inc., SAP SE, Percona LLC, Qubole Inc., Riak, Anaconda, Inc., VoltDB, Inc., Google Inc., YELLOWBRICK DATA, INC., EnterpriseDB Corp., Neo4j, Inc., MariaDB Corp. AB, Cloudera, Inc., Microsoft Corporation, Databricks Inc., Oracle Corporation, MapR Technologies, Inc., Hortonworks, Inc., Redis Labs Inc., Kx Systems, Inc., SQLSTREAM, INC., IBM, KINETICA, Amazon Web Services Inc., MongoDB Inc., Snowflake Computing Inc., Splice Machine, Inc., Mark Logic Corp, McObject LLC, InterSystems Corporation, MemSQL, Inc.
Analytic applications, Big data analytics and discovery, Data warehouse platform software, Digital transformation strategies, Graph databases, Hadoop, Information and data management, Information transformation, NoSQL databases, Relational database management systems, Technology buyer