Andrew Pavlo's report "Databases in 2024: A Year in Review" reveals a significant year for database developments, highlighting license changes in major systems like Redis and Elasticsearch and the increase in popularity of DuckDB for analytical workloads. Pavlo notes the public backlash against Redis and Elasticsearch regarding licensing strategies, pointing to perceptions of fairness in the data community. He emphasizes DuckDB's capability to handle most OLAP queries effectively due to the low median data volume scanned in typical queries, indicating broad implications for database operations going forward.
Notice that Redis and Elasticsearch are receiving more backlash compared to other systems that made similar moves. It cannot be because the Redis and Elasticsearch install base is so much larger than these other systems.
Most OLAP queries do not access that much data. Fivetran analyzed traces from Snowflake and Redshift and showed that the median amount of data scanned by queries is only 100 MB.
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