Best Product Analytics Software for PostgreSQL
View:
Compare the Top Product Analytics Software that integrates with PostgreSQL as of July 2025
Sort By:
This a list of Product Analytics software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.
What is Product Analytics Software for PostgreSQL?
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 PostgreSQL currently available using the table below. This list is updated regularly.
-
1
Woopra
Woopra
Woopra is a Customer Journey Analytics solution that is redefining how companies understand, analyze, engage and retain their customers. The platform is designed to fuel optimization and growth throughout the entire customer lifecycle. Leveraging individual-level data to aggregate analytics reports for full lifecycle insights that bridge departmental gaps. Woopra’s proprietary tracking technology tracks usage across your website, product and mobile applications. In addition, the platform offers 51+ one-click integrations with partners such as Salesforce, Marketo, Intercom and Segment to seamlessly unify disparate data points across tools and teams.Starting Price: $999/month -
2
Mitzu
Mitzu.io
Mitzu.io is a warehouse-native analytics platform designed for SaaS and e-commerce businesses. It enables teams to derive actionable insights directly from their data warehouses or lakes without complex data modeling or copying data into third-party systems. The platform integrates seamlessly with popular data storage solutions like Snowflake, BigQuery, Redshift, Databricks, and Trino. Mitzu's key feature is its capability to provide self-service analytics. It empowers non-technical users like product managers, marketers, and sales teams to explore data and generate insights without SQL expertise. The platform automatically generates SQL queries based on user interactions, providing real-time analytics for monitoring user behavior, feature usage, and engagement patterns. One of Mitzu's main advantages is that it works directly on raw datasets in the warehouse, eliminating the need for data duplication. Also, it works with seat-based pricing! Cheaper than the alternatives.Starting Price: $95 per month -
3
Totango
Totango
Design and run any customer journey, easily and at scale. Everything you need to accelerate your customer success with the most widely adopted all-in-one Customer OS. Select your customer journey or build your own. Out of the box best practice templates for any journey or initiative. Why start from scratch? Securely connect all your customer data for a single, unified view of your customer. Simple to administer and maintain. Manage everything in one platform. It's never been easier to design, run, and measure, your best customer engagements. Automate workflows across your entire organization. Supercharge your digital engagement with hyper-personalized communications for each user. Modular and agile. It’s everything you need to easily get started, monitor, tune and grow. -
4
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 -
5
Athenic AI
Athenic AI
Discover the nuance behind the trends by following a guided journey of data analytics questions to understand what’s truly going on. Empower your stakeholders with self-service data analytics. Give them the ability to access and analyze the data they need, when they need it. Increase efficiency, reduce dependency on IT, and make data-driven decisions faster with a self-service analytics solution. Athenic AI connects to your data stored in a database, data warehouse or an application like a CRM or ERP platform to answer your questions without SQL knowledge or a business analyst. We have built Athenic to be able to interpret natural language and translate into SQL queries. We have even added the option to give the AI additional context in natural language. -
6
Fabi.ai
Fabi.ai
Fabi.ai is an AI-powered, collaborative data analysis platform. It helps data teams turn data into insights thanks to a seamless integration between SQL, Python, AI and no-code. From Fabi.ai, data teams can build and share interactive dashboards and reports, data apps, or lightweight data pipelines, pushing insights to Google Sheets and Slack.Starting Price: $199/month
- Previous
- You're on page 1
- Next