You are living in the digital era surrounded by a lot of data. Every online marketing or advertising agency generated a huge amount of data daily. This data contains lots of information about potential customers, sales, trends, markets, products, and many more. But, it is not easy to study and analyze this data independently.

You need to transfer app data to a database where it can be analyzed and visualized to achieve future targets easily. Deep and right data Analysis and visualization give the right direction to the businesses and help increase ROI(Return on Investment).

In this article, you will learn two methods to integrate one such app called Outbrain to PostgreSQL. With correct integration, data can be loaded easily to the database and can be further analyzed for the benefit of the organization.

Solve your data replication problems with Hevo’s reliable, no-code, automated pipelines with 150+ connectors.
Get your free trial right away!

What is PostgreSQL?

PostgreSQL is an open-source object-relational database system known for reliability, feature robustness, data integrity, and high performance. It was earlier named Postgres but later remanded as PostgreSQL as it is SQL compliance. It can handle concurrent users on single machines to data warehouses or web services easily. PostgreSQL runs on all major operating systems Windows, Linux, FreeBSD, and OpenBSD, and it is the default database for macOS servers.

 PostgreSQL assists developers in creating the most complex applications, running administrative tasks, and creating integral environments. Many web applications, as well as mobile and analytics apps, use PostgreSQL as their primary database.

PostgreSQL was designed to allow the addition of new capabilities and functionality. You can create your data types, index types, functional languages, and other features in PostgreSQL.If you don’t like something about the system, you can always create a custom plugin to make it better, such as adding a new optimizer.

Key Features Of PostgreSQL

The PostgreSQL features make it stand out and lead to high demand. Some important features of PostgreSQL are

  • Data Integrity: PostgreSQL follows ACID properties before and after every read or writes operation to maintain consistency in a database. ACID properties mean Atomicity, Consistency, Isolation, and Durability which help in maintaining rock-solid transactional integrity.
  • High-Performance: PostgreSQL is a fast and high-performing database. Advanced Indexing, B-tree indexes, Concurrency, query planning and optimization, nested Transactions, Multi-Version Concurrency Control (MVCC), Parallelization, and Table partitioning are some of the features which result in high performing PostgreSQL database.
  • Security: PostgreSQL is a secured database with GSSAPI, SSPI, LDAP, SCRAM-SHA-256, and many more authentication certificates. It offers a robust access control system, row and column level security, and Multi-factor authentication with certificates.

Why Integrate Outbrain to PostgreSQL?

Marketers analyze the data generated from Ad campaigns and run it on Outbrain. The transfer of data to a reliable database such as PostgreSQL helps with a lot of data problems. Without analysis and visualization, the data generated is a waste. Integration of Outbrain to PostgreSQL provides a platform to help marketers analyze ad campaign data and take decisions accordingly to increase sales and ROI(Return on Investment).

Reliably integrate data with Hevo’s Fully Automated No Code Data Pipeline

If yours is anything like the 1000+ data-driven companies that use Hevo, more than 70% of the business apps you use are SaaS applications. Integrating the data from these sources in a timely way is crucial to fuel analytics and the decisions that are taken from it. But given how fast API endpoints etc can change, creating and managing these pipelines can be a soul-sucking exercise.

Hevo’s no-code data pipeline platform lets you connect over 150+ sources in a matter of minutes to deliver data in near real-time to your warehouse. What’s more, the in-built transformation capabilities and the intuitive UI means even non-engineers can set up pipelines and achieve analytics-ready data in minutes. 

All of this combined with transparent pricing and 24×7 support makes us the most loved data pipeline software in terms of user reviews.

Take our 14-day free trial to experience a better way to manage data pipelines.

Get started for Free with Hevo!

Methods to Integrate Outbrain to PostgreSQL

There are two methods to integrate Outbrain to PostgreSQL and transfer data from Outbrain to the database.

Method 1: Using Hevo to Set Up Outbrain to PostgreSQL

outbrain to postgresql: Hevo Logo
Image Source

Hevo provides an Automated No-code Data Pipeline that helps you move your Outbrain to PostgreSQL. Hevo is fully-managed and completely automates the process of not only loading data from your 150+ data sources(including 40+ free sources)but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled securely and consistently with zero data loss.

Using Hevo, you can connect Outbrain to PostgreSQL in the following 2 steps:

  • Step 1: Perform the following steps to configure Outbrain as the Source in your Pipeline.
    • Step 1.1: In the Asset Palette, click PIPELINES.
    • Step 1.2: In the Pipelines List View, click the +CREATE button. 
    • Step 1.3: In the Select Source Type page, select Outbrain.
    • Step 1.4: In the Configure your Outbrain Source page, specify the fields mentioned below:
      • Pipeline Name: Give a unique name for the Pipeline, not exceeding 255 characters.
      • Username: Give the username obtained from Outbrain for access credentials.
      • Password: The password for the above outbrain username.
      • Historical Sync Duration: The synchronization duration for which the past data must be ingested.
outbrain to postgresql: configure outbrain as source
Image Source
  • Step 1.5: Click on the TEST & CONTINUE button.
  • Step 1.6: Proceed to configure the data ingestion and the Destination as PostgreSQL.
  • Step 2: After configuring the source, let’s configure PostgreSQL as the destination by following the below steps.
    • Step 2.1: After configuring the Source during Pipeline creation, click ADD DESTINATION or Click DESTINATIONS in the Asset Palette, and then, click +CREATE in the Destinations List View.
    • Step 2.2: Select PostgreSQL on the Add Destination page.
    • Step 2.3: Configure PostgreSQL connection settings as mentioned below:
      • Destination Name: Give a unique name for your Destination.
      • Database Host: Use the PostgreSQL host’s IP address or DNS as the database host.
      • Database Port: The port number on which your PostgreSQL server listens for connections. Default value: 5432.
      • Database User: In the PostgreSQL database, a user with a non-administrative role.
      • Database Password: The password of the PostgreSQL database user.
      • Database Name: The name of the Destination PostgreSQL database to which the data is loaded.
      • Database Schema: The name of the Destination PostgreSQL database schema. Default value: public.
      • Additional Settings: Choose advance setting as per the need.
outbrain to postgresql: configure postgresql as destination
Image Source
  • Step 2.4: After configuring the PostgreSQL settings, click on TEST CONNECTION to test connectivity to the Destination Postgres server.
  • Step 2.5: Once the test connection is successful, save the connection by clicking on SAVE & CONTINUE.
Deliver smarter, faster insights with your unified data

Using manual scripts and custom code to move data into the warehouse is cumbersome. Changing API endpoints and limits, ad-hoc data preparation, and inconsistent schema makes maintaining such a system a nightmare. Hevo’s reliable no-code data pipeline platform enables you to set up zero-maintenance data pipelines that just work.

  • Wide Range of Connectors: Instantly connect and read data from 150+ sources including SaaS apps and databases, and precisely control pipeline schedules down to the minute.
  • In-built Transformations: Format your data on the fly with Hevo’s preload transformations using either the drag-and-drop interface or our nifty python interface. Generate analysis-ready data in your warehouse using Hevo’s Postload Transformation. 
  • Near Real-Time Replication: Get access to near real-time replication for all database sources with log-based replication. For SaaS applications, near real-time replication is subject to API limits.   
  • Auto-Schema Management: Correcting improper schema after the data is loaded into your warehouse is challenging. Hevo automatically maps source schema with destination warehouse so you don’t face the pain of schema errors.
  • Transparent Pricing: Say goodbye to complex and hidden pricing models. Hevo’s Transparent Pricing brings complete visibility to your ELT spend. Choose a plan based on your business needs. Stay in control with spend alerts and configurable credit limits for unforeseen spikes in the data flow.
  • 24×7 Customer Support: With Hevo you get more than just a platform, you get a partner for your pipelines. Discover peace with round-the-clock “Live Chat” within the platform. What’s more, you get 24×7 support even during the 14-day free trial.
  • Security: Discover peace with end-to-end encryption and compliance with all major security certifications including HIPAA, GDPR, and SOC-2.

Try Hevo Today!


Method 2: Using Custom Code to Move Data from Outbrain to PostgreSQL

Follow the below steps to manually integrate Outbrain to PostgreSQL:

Step 1: Extract Data from Outbrain

The first step for the Outbrain to PostgreSQL integration is to extract the data from outbrain. Outbrain allows you to extract marketers, campaigns, or performance data using RESTful Amplify API. With a GET/reports/marketers/[id]/content call, an API call can be created.

In API calls performance metrics can be specified according to the requirement. There are many options available to choose from.

Step 2: Sample Data response

Below is an example of a JSON response from an API query for Outbrain marketers performance data:

    "results": [
                "id": "00f4b02153ee75f3c9dc4fc128ab041962",
                "text": "Yet another promoted link",
                "creationTime": "2017-11-26",
                "lastModified": "2017-11-26",
                "url": "",
                "status": "APPROVED",
                "enabled": true,
                "cachedImageUrl": "",
                "campaignId": "abf4b02153ee75f3cadc4fc128ab0419ab",
                "campaignName": "Boost 'ABC' Brand",
                "archived": false,
                "documentLanguage": "EN",
                "sectionName": "Economics",
                "impressions": 18479333,
                "clicks": 58659,
                "conversions": 12,
                "spend": 9187.16,
                "ecpc": 0.16,
                "ctr": 0.32,
                "conversionRate": 0.02,
                "cpa": 765.6
    "totalResults": 27830,
    "summary": {
        "impressions": 1177363701,
        "clicks": 2615150,
        "conversions": 2155,
        "spend": 455013.97,
        "ecpc": 0.17,
        "ctr": 0.22,
        "conversionRate": 0.08,
        "cpa": 211.14
    "totalFilteredResults": 1,
    "summaryFiltered": {
        "impressions": 18479333,
        "clicks": 58659,
        "conversions": 12,
        "spend": 9187.16,
        "ecpc": 0.16,
        "ctr": 0.32,
        "conversionRate": 0.02,
        "cpa": 765.6

Step 3: Data Preparation

Data that is extracted need to be prepared. Create a data schema if it is not already there. A data structure is required to store data from where data can be easily uploaded to PostgreSQL.

Step 4: Load Data

Now, it’s time to load data in PostgreSQL. Use CREATE TABLE command to create a table in the Database. A sample code is shown below:

id serial,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(50),
contact_num VARCHAR(50)

After creating the table, use INSERT statements to add data to your PostgreSQL table row by row.

Step 5: Final Check

Run SQL Query to check whether data is properly uploaded on PostgreSQL or not.


You have learned two methods to ingrate Outbrain to PostgreSQL. It is easy to load data to PostgreSQL manually but it requires hands-on experience and technical knowledge to do the same.

While with Hevo data it is easy to upload data in a few clicks and a non-technical person can do the same. It makes the Outbrain PostgreSQL integration process easy and user-friendly. Hevo’s reliable, flexible, and easy-to-use GUI make it highly recommended for data loading from Outbrain to PostgreSQL database.

Visit our Website to Explore Hevo

Hevo offers a No-code Data Pipeline that can automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Marketing, Customer Management, etc.

This platform allows you to transfer data from 150+ sources (including 40+ Free Sources) such as Outbrain to a destination of your choice such as PostgreSQL, Cloud-based Data Warehouses, etc. It will provide you with a hassle-free experience and make your work life much easier.

Want to take Hevo for a spin? 

Sign Up for a 14-day free trial and experience the feature-rich Hevo suite firsthand. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

Nidhi B.
Freelance Technical Content Writer, Hevo Data

Nidhi is passionate about carrying out in-depth research on topics related to data integration and analysis, and loves to see the impact by offering informative content to assist individuals in delving deeper into these intricate subjects.

No-code Data Pipeline For PostgreSQL