Countly vs Klaritics

Countly has no write-up on Specifiction yet; its figures are above.

Klaritics is a self-hosted, warehouse-native product analytics platform that analyzes product behavior using data in a customer’s existing warehouse. Product, data, and engineering teams can study funnels, retention, user paths, cohorts, dashboards, SQL, and conversion tracking. Klaritics AI handles natural-language questions, behavioral investigations, anomaly identification, recommendations, and summaries. Native connectors are listed for Snowflake, BigQuery, Amazon Redshift, PostgreSQL, and ClickHouse. Data can arrive through SDKs, a batch-capable HTTP API, or streaming with Kafka, Kinesis, or Pub/Sub. Deployments run on Kubernetes, Docker, or bare-metal Linux, with air-gapped Enterprise deployments available. The maker says raw events remain in the customer’s warehouse and aggregated results stay in the customer environment; optional usage telemetry is off by default. Governance includes row-level security, column masking, PII controls, role-based access, and audit logs. Starter is free; Growth and Enterprise use annual licensing.