Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...

Observability in financial systems is not just an engineering convenience. It is a regulatory necessity. When a trade fails ...

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences ...

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...

IBM is expanding its collaboration with NVIDIA to help enterprises operationalize AI at scale. Advancing efforts across GPU-native data analytics, intelligent document processing, on-premises and ...

Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...

Compliance continues to drive adoption of trusted open source: We saw the same themes from December present here, underscored ...

Gnata, “a pure-Go implementation of JSONata 2.x”, was built in just seven hours, $400 in tokens and a 1,000x speedup on common expressions.

Data analysts have to use Excel and Google Sheets more or less on a daily basis in their work. Although these spreadsheet ...