What are the key differences between ScyllaDB and TimescaleDB?

Compare ScyllaDB and TimescaleDB side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are ScyllaDB and TimescaleDB scored?

ScyllaDB has an AI score of 6.8/10 and TimescaleDB has an AI score of 7.9/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

ScyllaDB vs TimescaleDB 2026 — Compared

ScyllaDB

TimescaleDB

WINNER TimescaleDB

TimescaleDB edges ahead with a score of 7.9/10 compared to 6.8/10 for ScyllaDB. While both are highly rated in their res...

ScyllaDB

6.8 Fair

Database Get ScyllaDB open_in_new

emoji_events WINNER

TimescaleDB

7.9 Good

Database Get TimescaleDB open_in_new

ScyllaDB Pricing not available

payments

TimescaleDB From $10/month Free plan available

psychology AI Verdict

TimescaleDB edges ahead with a score of 7.9/10 compared to 6.8/10 for ScyllaDB. While both are highly rated in their respective fields, TimescaleDB demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: TimescaleDB

verified Confidence: Low

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description Overview

ScyllaDB

ScyllaDB is a native, distributed NoSQL database built for high-performance applications. Its designed to handle massive workloads with low latency, making it ideal for use cases like time-series data, IoT, and gaming. ScyllaDBs architecture is optimized for key-value access, providing significant performance improvements over traditional NoSQL databases.

TimescaleDB

TimescaleDB is an open-source time-series database built as a PostgreSQL extension. It is engineered for ingesting and analyzing massive volumes of time-stamped data in real-time, such as metrics, IoT sensor data, and financial tick data. It combines the familiarity and reliability of SQL with the performance and scalability needed for time-series workloads. Its continuous aggregates and data rete...