Compare |
Rakam |
Looker |
Periscope Data |
Tableau |
---|---|---|---|---|
Pricing | Based on team members | (Custom - Starts from $3000) | (Custom) | Based on team members |
Query Builder | ||||
Dashboard Capabilities | 3.5/5 (Still improving!) | 4/5 | 3.5/5 | 5/5 |
Non-technical user friendly | ||||
Features | ||||
Data Catalog | ||||
Data Modeling | 3.5/5 (Still improving!) | 4/5 | 2/5 | 3/5 |
Funnel & Retention | Limited via segmentation | |||
Integrations | 3/5 (Still improving!) | 4.5/5 | 2.5/5 | 4/5 |
Freemium support | ||||
Support | The founding team | Support engineers | - | Partners |
Best for product analytics | Best for transactional data | Best for SQL analysis | General purpose |
How Rakam is different from product analytics tools?
Since we have features such as funnel and retention, Rakam can also be
confused with product analytics tools.
See how we're different:
Works on top of your database
Most of the product analytics tools require you to send your data to their third party servers. If you care about your users' privacy, you should be storing all the sensitive event data in your database. We just let you analyze your event data using prebuilt reporting features.
Most of the product analytics tools require you to send your data to their third party servers. If you care about your users' privacy, you should be storing all the sensitive event data in your database. We just let you analyze your event data using prebuilt reporting features.
Join company data with event data
Since Rakam connects to your database, you can join your company data with the event data easily. It helps you to see the big picture unlike the third-party product analytics tools.
Since Rakam connects to your database, you can join your company data with the event data easily. It helps you to see the big picture unlike the third-party product analytics tools.
How Rakam is different from traditional BI tools?
While most of the BI tools focus on creating charts & dashboards, our
main use-case is ad-hoc analytics.
You model your data once unlike most of the analytics tools and analyze
the data as if you built an in-house product just for your data.
Ad-hoc analytics at scale
Most of the product analytics tools require you to send your data to their third party servers. If you care about your users' privacy, you should be storing all the sensitive event data in your database. We just let you analyze your event data using prebuilt reporting features.
Most of the product analytics tools require you to send your data to their third party servers. If you care about your users' privacy, you should be storing all the sensitive event data in your database. We just let you analyze your event data using prebuilt reporting features.
Actionable insights
Thanks to the data modeling phase, the system will know more about our data in reporting pages. You can click the series in charts, table cells, and filter & export the data easily as you built an in-house tool.
Thanks to the data modeling phase, the system will know more about our data in reporting pages. You can click the series in charts, table cells, and filter & export the data easily as you built an in-house tool.