Manually exporting PostgreSQL data can be time-consuming and prone to human error. It also requires technical know-how in operating the copy command, dbname, and user permissions. Needless to say, it’s best to automate and schedule this process. Luckily, you can do this without any coding skills!
Let’s learn how you can automatically export PostgreSQL data at your preferred schedule.
Methods to export data from PostgreSQL
To get started, let’s take a look at three different methods to export data from PostgreSQL:
Automated data export without coding
With automated data collecting, you can minimize human error and have accurate data in a ready-to-use report. You can automate data export from PostgreSQL with Coupler.io. It’s a no-code reporting automation platform designed to turn raw data into simple reports. Coupler.io lets you collect data from PostgreSQL without the need for coding or complex SQL queries. Furthermore, you can schedule your updates to be as frequent as every 15 minutes if you prefer. As a result, your data will always be fresh and up to date.
Coupler.io allows users to automate and schedule their data export to their chosen destinations. You can load data to BI tools, spreadsheets, data warehouses, and more.
API integration
If you have some coding skills, you can use the PostgreSQL REST API to export data from PostgreSQL to your preferred destination. This method is best for those who need highly customized data export in large amounts.
However, using API integration is for more advanced users with strong technical expertise. It requires writing custom scripts that interact with the PostgreSQL database. Because of this, API integrations are usually used by large enterprises with dedicated technical teams.
Manual data exports
This method uses built-in PostgreSQL tools such as pg_dump or database management software like pgAdmin 4 to manually export data. The process involves practicing SQL queries using the command line (using psql) to create data exports.
This option works for exporting data occasionally and in small sets of data. Otherwise, it can be time-consuming and prone to human error. On top of that, manual data export also requires technical know-how, making this option only best for technical users.
With that said, let’s get into the most optimal solution to automate data exports on a schedule.
How to set up an automated export of data from PostgreSQL on a schedule?
Follow the tutorial below to automate and schedule data export from PostgreSQL using Coupler.io.
Step 1: Collect PostgreSQL data
First, use the form below. We have preselected PostgreSQL as the source. From here, simply select your preferred data destination from the dropdown list and click Proceed.
Now, create a Coupler.io account for free (no credit card required). Next, connect your PostgreSQL account and configure the source settings to your preference:
- Report type. You can select Table or view for easy data retrieval from existing sources or use Custom SQL for precise queries from single or multiple PostgreSQL tables.
- Schema. Provide the schema you want to export from PostgreSQL. For now, it is prefilled with the default schema, Public.
- Table/view. Fill in with the specific table name you want to export.
Once you’re done setting up the source, click Finish and Proceed and continue by pressing the Transformations button.
Step 2: Organize and transform data
Here is where you organize and transform your data into a useful format. Coupler.io supports the following data transformations:
- Manage columns. Edit, rearrange, hide, or add columns.
- Filter and sort data. Filter and sort your data based on different categories.
- Merge data. Combine data from multiple tables, accounts, or other apps.
Once your data is in order, follow the in-app instructions to connect your destination and hit Setup a Schedule to continue to the last step.
Step 3: Schedule your updates
This is the final step of the setup process. Turn on automatic data refresh and schedule how frequently your data is updated. Coupler.io supports self-updating data monthly, daily, hourly, every half an hour, and every 15 minutes! This scheduled update ensures you have accurate access to the latest data at all times.
To finalize this process, click Save and Run Importer to send your data to the destination.
What data can be exported by Coupler.io from PostgreSQL?
Coupler.io lets you export data from PostgreSQL databases, which can contain different types of data. Let’s take a look at an overview of the various categories:
Marketing data
Pull data such as conversion rates, click-through rates, customer acquisition cost, and more. This information is essential to analyze your campaign performance and optimize your marketing strategy to maximize return on investment.
Sales data
Capture sales data from PostgreSQL, including sales revenue, sales growth rate, and customer churn rate. By understanding sales patterns and customer behavior, you can identify sales opportunities and optimize the best sales strategies for the future.
Finance data
Gather data on cash flow statements, expense ratios, as well as profit and loss statements for a thorough financial analysis. This information is useful for budgeting, forecasting, and managing expenses to help businesses make informed decisions and optimize profit.
Accounting data
Extract accounting data, including transaction volume, tax liabilities, and audit trail. This information helps businesses perform accurate financial accounting and minimize financial errors.
SEO data
Retrieve metrics like keyword ranking, organic traffic, and bounce rate to assess and optimize your SEO strategies. This data offers insights into your website performance. It helps improve your site’s visibility and ranking on search engine results pages, attracting more organic traffic and leads.
E-commerce data
Collect data on customer retention rate, cart abandonment rate, and product performance metrics to gain insight into customer preferences and purchase patterns. This information is key to improving marketing efforts and enhancing customer satisfaction.
PPC data
Fetch PPC data, including click-through rate, cost per click, and ad impressions to see and analyze your ad performance. This information is essential to gain insight into audience behavior, which you can use to optimize PPC campaigns and maximize return on ad spend.
Social media data
Access social media data such as likes, shares, follower growth rate, and engagement rate to analyze your content performance. This data is key to understanding your audience’s likes and dislikes about your content. By analyzing this data, you can optimize social media strategy and increase audience engagement.
What are the supported destinations to import PostgreSQL data?
Coupler.io offers a wide range of integration with data destination apps. What’s better, you can export PostgreSQL data into multiple destinations by creating separate importers for each application.
Here’s a list of integrated data destinations by Coupler.io:
Spreadsheets. Transfer PostgreSQL data to spreadsheets for quick report access using the following options:
- Google Sheets. Perform collaboration on basic to intermediate datasets. It offers a robust set of functions and formulas but fewer advanced features compared to Excel.
- Microsoft Excel. Execute more advanced data analysis with complex calculations and scenarios. Often, Excel is used by companies for handling large datasets.
BI tools. Export data to BI tools to perform advanced analytics, handle larger datasets, and load complex visualization. Here are the supported destinations:
- Looker Studio. Create interactive dashboards and reports using an intuitive and user-friendly interface. Best for collaborative work and those who heavily rely on the Google ecosystem.
- Power BI. Perform complex data visualization and advanced analytics with scalability features. Best for organizations using Microsoft products due to its deep integration with the service.
- Tableau. Load complex and interactive visualization with a drag-and-drop interface to simplify creating dashboards and reports.
- Qlik Sense. Execute associative analytics to explore insights in your data. Excellent for data discovery, allowing you to explore and create your own data analysis.
Data warehouses. Extract data from PostgreSQL to data warehouses for storing and analyzing large volumes of data from various sources. Below are the supported destinations:
- BigQuery. Run powerful queries and handle large datasets efficiently. Supports varying workloads, making it suitable for growing businesses with increasing data storage. Also a great choice for organizations that leverage the Google Cloud ecosystem as it integrates with Google Cloud AI for running machine learning models.
- Redshift. Gain strong data security and large-scale data warehousing for complex queries and large datasets. Great for companies using the AWS infrastructure as it integrates well with the AWS ecosystem, from S3 to Glue, and more.
Other destinations. Load your PostgreSQL data to more destinations such as:
- JSON. Create JSON files for various purposes, such as sharing them with teams, and loading them to other databases.
- Monday.com. Collaborate with your team on a shared workflow to manage your data.
How to visualize data from PostgreSQL?
With Coupler.io, you can connect PostgreSQL to your preferred BI tool and visualize your data. Once you’re done with data import, start building your dashboard and customize it to meet your needs.
What’s more, the setup process is simple and takes less than three minutes to do. To make the process faster, consider looking for inspiration in our dashboard templates as we have reports designed for Looker Studio, Google Sheets, Power BI, and Tableau.
Overall, Coupler.io helps automate data export from PostgreSQL to your desired visualization tool. It saves you time and creates an automated workflow for your business, providing timely and accurate data to make important decisions.
So, what are you waiting for? Sign up for a Coupler.io account and you’ll receive an update whenever a dashboard for PostgreSQL becomes available!
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