Open-source data movement to

Open-source ETL from

Paystack

to any destination

Paystack is a payment platform that enables businesses in Africa to accept online and offline payments securely, manage transactions, and automate payment processes efficiently. Airbyte enables you to sync from any data source to Paystack, in minutes.

Paystack is a payment platform that enables businesses in Africa to accept online and offline payments securely, manage transactions, and automate payment processes efficiently. Airbyte allows you to extract and sync data from Paystack to any data warehouse, lake, database, or other destination within minutes.

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Read the Paystack docs

Start syncing data from any source to Paystack in three easy steps

Start leveraging your Paystack data in three easy steps

Set up a source connector to extract data from Airbyte

Setup a Paystack connector in Airbyte

This can be any API tool, cloud data warehouse, database, data lake, file, or many other source types.

Set up Paystack as the destination connector

Set up a destination for your extracted Paystack data

Connect to Paystack or one of 50+ Airbyte data destinations through simple account authentication.

Configure the connection in Airbyte

Select the data you want to extract, the sync frequency, and where in Paystack you want that data to be loaded.

Airbyte's
Open Data Movement Platform

Modernize your data infrastructure with Airbyte's high speed data replication. Move large volumes of data with best-in-class CDC methods and replicate large databases within minutes.

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Why Airbyte?

Airbyte is the only unified data movement platform built on the open standard. It is uniquely positioned in terms of data sovereignty, connector extensibility, and support for AI workflows.

Syncing data from Paystack is only one of your 1,000 future data pipeline needs. Leverage the largest Marketplace of 400+ pre-built and 10,000+ custom structured and unstructured connectors. Join 2,000 + data engineers who built 7,000+ custom connectors in minutes with low-code/no-code Connector Builder or AI Assistant.

Check the Connector Builder

Create context for AI agents by leveraging Airbyte's 600+ connectors. Airbyte's pipelines transfer structured and unstructured data together for metadata preservation. With support for flexible destinations such as Iceberg, Airbyte is the ideal data movement solution for agentic application.

Explore the AI use cases

Any specific way you would like to sync data from Paystack? Airbyte has you covered.
UI: Create connections and custom connectors in minutes.

API: Programmatic interactions, data syncing, and embedded connectors.

Terraform: Integration with CI/CD tools and rapid deployment with Infrastructure as Code.

PyAirbyte: Build LLM applications with Python libraries, SQL tools, and AI frameworks.

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Flexible deployment options: self-hosted, cloud, and hybrid. Secure and compliant: ISO 27001, SOC 2, GDPR, HIPAA, data encryption, audit/monitoring, SSO, RBAC, and more. Centralized multi-tenant management with self-serve capabilities.

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Trusted by the world's leading companies

Immediate ROI and productivity gains for your data teams.

"With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance."

Raman Singh, Tech Lead at Symend

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75%

reduction in sync times

$ 900K

in annual savings

"The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.”

Sean Carver, Director of Data at Petvisor

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20+

data sources integrated and growing

FTE engineer in productivity efficiency

85%+

reduction in data source integration time

"For TUI Musement, Airbyte cut development time in half and enabled dynamic customer experiences."

Andre Exner, Director of Customer Hub and Common Analytics

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50%

faster development time

"What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github."

Amy Zhao, Senior Manager of Data Engineering at Peloton

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3 to 1

reduction in data integrations solutions for reduced TCO

week Shopify and Stripe integration with Airbyte

"Airbyte allows us to stay flexible while scaling from hundred-million to billion-dollar enterprise clients."

Franziska Ibscher, Product Manager at Drivepoint

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75%

of customers increased profitability

6.7%

EBITDA increase for customers

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Paystack?

Paystack is a payment gateway that allows businesses to accept payments from customers online. It provides a secure and easy-to-use platform for businesses to receive payments from customers using various payment methods such as debit/credit cards, bank transfers, and mobile money. Paystack also offers features such as automated invoicing, subscription billing, and fraud detection to help businesses manage their payments efficiently. With Paystack, businesses can easily integrate payment options into their websites or mobile apps, making it easier for customers to pay for products and services. Paystack is available in Nigeria and Ghana, and it has become a popular payment gateway for businesses in these countries.

What data can you extract from Paystack?

Paystack provides access to a wide range of data types, including:

Structured data: This includes data that is organized into tables with defined columns and data types, such as CSV, JSON, and Avro files.

Semi-structured data: This includes data that has some structure, but not necessarily a fixed schema, such as XML and JSON files.

Unstructured data: This includes data that has no predefined structure, such as text, images, and videos.

Time-series data: This includes data that is organized by time, such as stock prices, weather data, and sensor readings.

Geospatial data: This includes data that is related to geographic locations, such as maps, GPS coordinates, and spatial databases.

Machine learning data: This includes data that is used to train machine learning models, such as labeled datasets and feature vectors.

Streaming data: This includes data that is generated in real-time, such as social media feeds, IoT sensor data, and log files.

Overall, Paystack's API provides access to a wide range of data types, making it a powerful tool for data analysis and machine learning.

How do I transfer data from Paystack?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

Set up Paystack as a source connector (using Auth, or usually an API key)

Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector

Define which data you want to transfer from Paystack and how frequently

What are top ETL tools to transfer data from Paystack?

The most prominent ETL tools to transfer data to Paystack include:

Airbyte

Fivetran

StitchData

Matillion

Talend Data Integration

These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into Paystack and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Paystack Integration Guides

Connect your favorite tools and services to Paystack

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Paystack to Google Sheets

Paystack to Google Pubsub

Paystack to RabbitMQ

Paystack to Kafka

Paystack to Teradata

Paystack to JSON File

Sync your data from any source to Paystack

Get your Paystack data in whatever tools you need

Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

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