KUBIT VS HEAP VS MIXPANEL

Warehouse-native Analytics You Can Trust

Optimize your digital products with reliable customer insights

Compare Kubit to Heap and Mixpanel

Product analytics
Collaboration features
True warehouse-native architecture
Connects to all cloud data warehouses
Implementation in less than 30 days
Generates optimized SQL for analytics
Exposes SQL behind every report
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Compare Kubit to Heap and Mixpanel

Product analytics
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  • Time Series Analysis
  • Funnel conversion
  • Behavioral Cohorts
  • User Paths
  • User Retention
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Collaboration featuresIncludedIncludedIncluded
True warehouse-native architectureIncluded Not Included Not Included
Connects to all cloud data warehousesIncluded Not Included Not Included
Implementation in less than 30 daysIncludedNot Included Not Included
Generates optimized SQL for analyticsIncluded Not Included Not Included
Exposes SQL behind every reportIncluded Not Included Not Included
Get Started
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Self-service product analytics direct from your data warehouse

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Best-in-class security

With Kubit, you are in full control of your data. Kubit queries your data instead of ingesting it, so governance and security is tethered to your data warehouse. You can access the underlying SQL behind all your reports, so you always know where your data originates.

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Easy to scale

Get started today with what you have and expand Kubit product analytics to more complex use cases over time, using measures, filters, cohorts, and other governed components within Kubit. The full data set is actionable and immediately accessible, so you can depend on accurate and complete insights.

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Compliance ready

Kubit makes it possible to have a single source of truth when it comes to your data. Kubit leverages your existing data model within your cloud data warehouse, so everyone is working off of the same data. Your data never leaves your warehouse.

Kubit product analytics​

Give your team easy access to product analytics without disrupting your data warehouse strategy. Contact us to book a demo.

Kubit product analytics use cases

Count the occurrences of certain events and compare their ratios through a time series to understand how your users engage with your products over time.

Analyze all the action events your users take; find out which features drive the best engagement to create power users of your product.

Measure the conversion/drop-off rate between the steps of key user flows like registration, checkout, or social loop funnels.

Test different content through various presentation methods (e.g., catalogs, carousels, push notifications) and measure the impact on critical success factors.

Accurately assess the performance of your marketing campaigns and measure how they are affected by changes to your product and content.

Segment users by certain criteria to enable dynamic identification and tracking of the behavior of specific groups. Use this data to inform product decisions.

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What our customers are saying

Frequently asked questions

Typically, we see most customers go from kick-off to data available in Kubit within two weeks. This is heavily dependent on the state of your data, of course. But, due to Kubit’s warehouse-native architecture, we have unique advantages in working with unstructured data and can overcome those challenges.

We support Snowflake, Databricks, Google Big Query, Amazon Redshift, and Azure, plus many more. Click here for more information.

Analysis in Kubit provides the breadth and depth to accomplish a variety of use cases such as (but not limited to): 

  • Time series analysis: Uncovering user engagement
  • Funnel conversions: Optimizing conversions and identifying friction points
  • Behavioral cohorts: Creating, comparing, and communicating with the right audience at the right time
  • User pathing: Exploring how users navigate and engage
  • User retention: Helping to answer questions about how, when, and why users come back

Kubit provides far more flexibility than any other traditional product analytics tools to access and utilize a complete dataset for analysis purposes.

 

This data can include, but is not limited to, behavioral data, clickstream data, operational data, and offline data. It can come from Sales, Marketing, Product, Support, Finance, Operations, etc.

We offer simple and predictable pricing based on monthly tracked users (MTUs). We align your analytics investments with the goal to grow and retain your user base. Click here for more information.

Unlike Heap and Mixpanel, which only allow you to query historical data from the last 12 months, Kubit does not have restrictions on how far back you can look.

Kubit offers syncs to third-party marketing tools; all other features are included out of the box, e.g., advanced permissions, cohort, monitoring, multi-dimensional, etc. 

Kubit has several resources—self-service and human beings—to support your team’s adoption of product analytics. All customers have access to a dedicated CSM and technical support for any implementation or integration questions. Additionally, we offer in-product chat support, a regularly updated Help Center, training videos, release notes, and technical documentation to aid in self-service support needs.

Security and compliance are essential aspects of our business. Kubit seamlessly integrates with your existing data warehouse, which eliminates data silos and provides customers with a single source of truth. As an official vendor to all data warehouses, we undergo rigid review processes to validate our security and privacy framework. Click here for more information.

Other product analytics vendors such as Heap and Pendo also require you to send your data outside your warehouse and extend resources to bring it back in, and therefore, devalue the investments you made in your cloud data warehouse.