Mixpanel to PostgreSQL Integration: 2 Easy Methods

Building a world-class product isn’t the only essential element to keep your business going. You also need to understand how your users interact with it, their behavior, and how the product can be made better. Using Mixpanel tells a lot about your organization’s importance to the user behavior and the decisions based on that.
The granular data about your users’ behavior in Mixpanel is essential to make marketing & sales-related decisions. This is when moving your product usage data from Mixpanel to PostgreSQL is required.

You have come to the right place to find a solution. This article will provide 2 methods to replicate your data from Mixpanel to PostgreSQL. One would require you to build the pipeline all by yourself, and the other is an automated solution. Let’s dive in.

How to Connect Mixpanel to PostgreSQL?

To replicate data from Mixpanel to PostgreSQL, you can either use “Export API” or a no-code automated solution. We’ll first cover replication via Export API.

Method 1: Export Mixpanel to PostgreSQL using Export API

You can export JSON data from Mixpanel and import them to PostgreSQL.

Step 1: Sending Requests to export Endpoint

• This is an example of a request that would return raw events from Mixapanel.

https://data.mixpanel.com/api/2.0/export/?from_date=2012-02-14&expire=1329760783&sig=bbe4be1e144d6d6376ef5484745aac45 &to_date=2012-02-14&api_key=f0aa346688cee071cd85d857285a3464& where=properties%5B%22%24os%22%5D+%3D%3D+%22Linux%22&event=%5B%22Viewed+report%22%5D

Step 2: Result in JSON 

• The result is always returned in JSON format, with one event per line, ordered by increasing timestamp. It resembles the following example:

{"event":"Viewed report", "properties":{"distinct_id":"foo","time":1329263748,"origin":"invite", "origin_referrer":"https://mixpanel.com/projects/","$initial_referring_domain":"mixpanel.com", "$referrer":"https://mixpanel.com/report/3/stream/","$initial_referrer":"https://mixpanel.com/", "$referring_domain":"mixpanel.com","$os":"Linux","origin_domain":"mixpanel.com","tab":"stream", "$browser":"Chrome","Project ID":"3","mp_country_code":"US"}}

Step 3: Importing datasets into PostgreSQL

• The COPY command is the preferred method for importing larger datasets into a PostgreSQL database. COPY command copies data from an accessible file system to PostgreSQL. This allows much larger datasets to be inserted into the database in a shorter amount of time.

CREATE TEMP TABLE target(data jsonb); copy target from '/home/cae/test_without_new_lines.json';

Learn more about Change Data Capture in PostgreSQL.

Use Cases of Manual Method

Using JSON files and SQL queries is a great way to replicate data from Mixpanel to PostgreSQL in the following situations:

• Less Amount of Data: This method is appropriate for you when the number of reports is less. Even the number of rows in each report is not huge.
• One-Time Data Replication: This method suits your requirements if your business teams need the data only once in a while.
• No Data Transformation Required: This approach has limited data transformation capabilities. JSON files might need conversion to be usable in a mainframe, on tape, or in reporting applications. In addition to conversion, JSON data has to be integrated, transformed, analyzed, and managed for quality and security. So, making your spreadsheet data clean, standardized, and analysis-ready is a good idea.
• Dedicated Personnel: If your organization has dedicated people who have to perform the manual downloading and uploading of JSON files, then accomplishing this task is not much of a headache.

This task would feel mundane if you would need to replicate fresh data from Mixpanel regularly.
It adds to your misery when you have to transform the raw data every time. With the increase in data sources, you would have to spend a significant portion of your engineering bandwidth creating new data connectors.

Method 2: Automate the Data Replication process using a No-Code Tool

Going all the way to use JSON files for every new data connector request is not the most efficient and economical solution. Frequent breakages, pipeline errors, and lack of data flow monitoring make scaling such a system a nightmare.

You can streamline the Mixpanel to PostgreSQL data integration process by opting for Hevo’s automated platform.

Step 1: Configure Mixpanel as a Source

Configure Mixpanel as the source in Hevo.

Step 2: Configure PostgreSQL as a Destination

Configure PostgreSQL as your Destination.

Read about the Top Data Integration Tools in 2024

In a matter of minutes, you can complete this No-Code & automated approach of connecting Mixpanel to PostgreSQL using Hevo and start analyzing your data.
Hevo’s fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. It also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.
Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that just work. By employing Hevo to simplify your data integration needs, you get to leverage its salient features:

• Fully Managed: You don’t need to dedicate time to building your pipelines. With Hevo’s dashboard, you can monitor all the processes in your pipeline, thus giving you complete control over it.
• Data Transformation: Hevo provides a simple interface to cleanse, modify, and transform your data through drag-and-drop features and Python scripts. It can accommodate multiple use cases with its pre-load and post-load transformation capabilities.
• Faster Insight Generation: Hevo offers near real-time data replication, giving you access to real-time insight generation and faster decision-making. 
• Scalable Infrastructure: With the increased number of sources and volume of data, Hevo can automatically scale horizontally, handling millions of records per minute with minimal latency.
• Transparent pricing: You can select your pricing plan based on your requirements. Different plans are put together on its website, as well as all the features it supports. You can adjust your credit limits and spend notifications for increased data flow.

Key Advantages of Replicating Data from Mixpanel to PostgreSQL?

By migrating your data from Mixpanel to PostgreSQL, you can help your business stakeholders find the answers to these questions:

• What percentage of customers from a region have the most engagement with the product?
• Which features of the product are most popular in a country?
• Which location are your power users mainly from?
• How does Agent performance vary by Product Issue Severity?
• How do you make your users happier and win them over?
• What are the custom retention trends over a period of time?
• What is the trend of a particular feature adoption with time?

My Key Takeaways

Exporting & uploading JSON files is the go-to solution for you when your data analysts require fresh data from Mixpanel only once in a while. However, with an increase in frequency, redundancy will also increase. To channel your time into productive tasks, you can opt-in for an automated solution that will help accommodate regular data replication needs. This would be genuinely helpful to support & product teams as they would need regular updates about customer queries, experiences, and satisfaction levels with the product. 
Even better, your support teams would now get immediate access to data from multiple channels and thus deliver contextual, timely, and personalized customer experiences.

So, take a step forward. And here, we’re ready to help you with this journey of building an automated no-code data pipeline with Hevo. Hevo’s 150+ plug-and-play native integrations will help you replicate data smoothly from multiple tools to a destination of your choice. Its intuitive UI will help you smoothly navigate through its interface. And with its pre-load transformation capabilities, you don’t even need to worry about manually finding errors and cleaning & standardizing them.
Skeptical? Why not try Hevo for free and make the decision yourself? Using Hevo’s 14-day free trial feature, you can build a data pipeline from Mixpanel to PostgreSQL and try out the experience.

Here’s a short video that will guide you through the process of building a data pipeline with Hevo.

We hope you have found the appropriate answer to the query you were searching for. Happy to help!

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