To learn about the current and future state of databases, we spoke with and received insights from 19 IT professionals. We asked, "Where do you think the biggest opportunities are in the evolution of databases?" Here’s what they shared with us:
AI/ML
- It will be interesting to see how artificial intelligence (AI) and machine learning (ML) impact the dynamic elements of data compilation and how it will evolve the database strategy.
- Continuing to push the limit of what can be done in real-time versus being computed, Apache stateful processing time goes into coding for streaming engines. ML phenomenon technologies are being inserted into real-time decision making. This is an exciting area for the industry to discover and graph can enhance ML.
- The edge and/or the fog will play an increasingly important role. There is so much data generated that moving and storing it in the cloud already has too much overhead. There need to be solutions that work on the edge and play well with the cloud. Databases need (and will get closer to) machine learning tools.
Autonomous
- 1) The user experience around simplicity. Managed services are taking over and becoming popular easy to get access, management monitoring. 2) High-speed processing opportunities are taking over. We want analytics built in. Hybrid nature is important. 3) Autonomous databases are becoming the biggest opportunities.
- Around autonomous databases: Reduce the operational footprint in terms of security, management, maintainability, and the cost associated with maintaining, making them more automated and autonomous.
- More automation on the administration side to reduce overhead for IT resources. Snowflake provides elasticity in those platforms. Platforms provide connectivity to object stores through data tables. How to integrate with streaming data and Kafka – what are the coming dominant architectures within the modern infrastructure?
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