When comparing KairosDB vs Timescaledb, the Slant community recommends Timescaledb for most people. In the question“What are the best time-series databases and/or data stores?” Timescaledb is ranked 1st while KairosDB is ranked 7th. The most important reason people chose Timescaledb is:
Implemented as a PostgreSQL extension, not a fork.
Ranked in these QuestionsQuestion Ranking
Pros

Pro Apache Cassandra provides fast, efficient, and highly reliable storage
KairosDB primary storage backend is Apache Cassandra. Cassandra is one of the biggest player in NoSQL world, supported by Datastax and used by large companies such as Netflix.
Pro Open source
KairoDB is licensed under Apache License with source code available on GitHub.

Pro High modularity
Extending KairosDB is very easy.
Software is based on Guice modules and all parts can be extended using modules: aggregations, query engines, webservice APIs.
Pro Multi apis
Accessible through Rest, Telnet, and Graphite.
Pro Powered by PostgreSQL
Implemented as a PostgreSQL extension, not a fork.
Pro Reliable at its core
Based on PostgreSQL hence inherits PostgreSQL’s operational maturity.
Pro Highly available
Support for streaming data replication and robust backup / recovery.
Pro Enterprise-grade security
Fine-grained access control, LDAP support, encryption, and flexible authentication built-in.
Pro Handle high query traffic
Deploy read replicas for higher query throughput.
Pro Data lifecycle management
Support for efficient data retention and archiving.
Pro Data model freedom
Store schemas or go schema-less with JSON. Use narrow or wide tables. Stop worrying about high cardinality.
Pro Geospatial queries
Grow your use case with PostGIS.
Cons
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