IDC predicts that more data will be created in the next three years than in the previous 30 years combined.
As organizations decide which data layer technologies to embrace, they generally have to reach an important decision: whether to adopt proprietary or open source software. To make things even more complicated, there are also “open core” solutions which can appear to be open source but are actually proprietary solutions drawing from open source code. The decision organizations make at this juncture has far-reaching consequences for long-term architecture, data management, staffing, and budget.
True open source solutions have gained popularity with developers across the board. In a 2020 survey by StackOverflow of over 65,000 developers, Redis, PostgreSQL, and Elasticsearch were the three “most-loved” databases. Meanwhile, the proprietary databases IBM DB2 and Oracle were the two “most-dreaded.”
If you’re currently using a proprietary data layer solution and are thinking of moving to true open source, this white paper is for you. Read on to explore four valuable strategies for ensuring a successful move to open source.