From Postgres to ScyllaDB: How Coralogix Achieved 349x Faster Queries

Coralogix migrated its metastore from PostgreSQL to ScyllaDB, slashing query times from 30s to 86ms. Engineers redesigned block and bloom filter data models to handle 50K Parquet files daily with millisecond latency. Using ScyllaDB’s Rust driver and Ku…


This content originally appeared on HackerNoon and was authored by ScyllaDB

Coralogix migrated its metastore from PostgreSQL to ScyllaDB, slashing query times from 30s to 86ms. Engineers redesigned block and bloom filter data models to handle 50K Parquet files daily with millisecond latency. Using ScyllaDB’s Rust driver and Kubernetes tools, they achieved sub-ms P99 latency and scalable, cost-efficient observability pipelines.


This content originally appeared on HackerNoon and was authored by ScyllaDB


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ScyllaDB | Sciencx (2025-09-11T16:51:39+00:00) From Postgres to ScyllaDB: How Coralogix Achieved 349x Faster Queries. Retrieved from https://www.scien.cx/2025/09/11/from-postgres-to-scylladb-how-coralogix-achieved-349x-faster-queries/

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" » From Postgres to ScyllaDB: How Coralogix Achieved 349x Faster Queries." ScyllaDB | Sciencx [Online]. Available: https://www.scien.cx/2025/09/11/from-postgres-to-scylladb-how-coralogix-achieved-349x-faster-queries/. [Accessed: ]
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» From Postgres to ScyllaDB: How Coralogix Achieved 349x Faster Queries | ScyllaDB | Sciencx | https://www.scien.cx/2025/09/11/from-postgres-to-scylladb-how-coralogix-achieved-349x-faster-queries/ |

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