Best Product Analytics Software for ClickHouse
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Compare the Top Product Analytics Software that integrates with ClickHouse as of April 2026
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This a list of Product Analytics software that integrates with ClickHouse. Use the filters on the left to add additional filters for products that have integrations with ClickHouse. View the products that work with ClickHouse in the table below.
What is Product Analytics Software for ClickHouse?
Product analytics software provides the tools to help businesses track, analyze, and optimize the performance of their products by collecting and interpreting user behavior data. These platforms provide insights into how customers interact with products, what features they use most, and where they encounter issues. Product analytics software typically includes features like funnel analysis, cohort analysis, A/B testing, heatmaps, and real-time tracking of product usage. It helps companies make data-driven decisions to enhance user experience, improve product features, and drive product innovation. Compare and read user reviews of the best Product Analytics software for ClickHouse currently available using the table below. This list is updated regularly.
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1
Mitzu
Mitzu.io
Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.ioStarting Price: $35 per month -
2
rakam
Rakam
rakam provides verticalized reporting features for different teams's reporting needs so, your teams are not restricted in a single interface. rakam turns the questions you ask within user interface to SQL while hiding the complexity from the end-users. rakam doesn't load any data into your data warehouse, it expects you to have all the data inside your data-warehouse and lets you analyze the data without pulling the data outside your data warehouse, the single source of truth. Link to our blog post about the topic. rakam natively supports dbt core as the data modeling layer. rakam doesn't run your dbt transformations, instead connects to your GIT repository and synchronizes your dbt models automatically. rakam can create incremental dbt models, make use of them to speed up your queries and reduce the query costs on your database. When you define aggregates in your dbt resource files, rakam creates roll-up models programmatically hiding the complexity from end-users.Starting Price: $25 per user per month -
3
Scarf
Scarf
Scarf is a platform designed to provide open-source project maintainers with detailed analytics on how their software is being used. By offering usage insights such as which companies are interacting with your project, how often they download packages, and which versions they use, Scarf helps improve targeting for sales and marketing. It identifies potential customers among open-source users through Open Source Qualified Leads (OQLs), enabling businesses to optimize their outreach efforts. Scarf also integrates with various third-party platforms to maximize the potential of the data it provides.
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