How to load data from Appfollow to Oracle

Learn how to use Airbyte to synchronize your Appfollow data into Oracle within minutes.

Try Airbyte Cloud

Get a demo

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Appfollow connector in Airbyte

Connect to Appfollow or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Oracle for your extracted Appfollow data

Select Oracle where you want to import data from your Appfollow source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Appfollow to Oracle in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Old Automated Content

TL;DR

set up Appfollow as a source connector (using Auth, or usually an API key)
set up Oracle as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Appfollow

Appfollow is a one-stop platform for app analytics, app reviews management, and app store optimization. Get reviews from the App Store, Google Play to monitor and analyse them. AppFollow is on a mission to help teams working on mobile apps to turn insights from reviews into new product experiences that users love. Mobile teams are responding to feedback in a timely manner, building products they know users will love, and optimizing their performance in the app stores with AppFollow.

What is Oracle

An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.

Integrate Appfollow with Oracle in minutes

Try for free now

Prerequisites

A Appfollow account to transfer your customer data automatically from.
A Oracle account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Appfollow and Oracle, for seamless data migration.

When using Airbyte to move data from Appfollow to Oracle, it extracts data from Appfollow using the source connector, converts it into a format Oracle can ingest using the provided schema, and then loads it into Oracle via the destination connector. This allows businesses to leverage their Appfollow data for advanced analytics and insights within Oracle, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Appfollow as a source connector

1. Open the Appfollow website and log in to your account.
2. Navigate to the API section of your account settings.
3. Generate an API key by clicking on the "Generate new API key" button.
4. Copy the API key to your clipboard.
5. Open the Airbyte website and navigate to the "Sources" tab.
6. Click on the "Create new source" button.
7. Select "Appfollow" from the list of available connectors.
8. Enter a name for your source and click on the "Next" button.
9. Paste the API key you copied earlier into the "API Key" field.
10. Enter the name of the Appfollow account you want to connect to.
11. Click on the "Test" button to verify that the connection is working.
12. If the test is successful, click on the "Create" button to save your source.
13. You can now use your Appfollow source connector to extract data from your Appfollow account and integrate it with other tools and services.

Step 2: Set up Oracle as a destination connector

1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.

Step 3: Set up a connection to sync your Appfollow data to Oracle

Once you've successfully connected Appfollow as a data source and Oracle as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Appfollow from the dropdown list of your configured sources.
Select your destination: Choose Oracle from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Appfollow objects you want to import data from towards Oracle. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Appfollow to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your Appfollow data.

Use Cases to transfer your Appfollow data to Oracle

Integrating data from Appfollow to Oracle provides several benefits. Here are a few use cases:

Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Appfollow data, extracting insights that wouldn't be possible within Appfollow alone.
Data Consolidation: If you're using multiple other sources along with Appfollow, syncing to Oracle allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Appfollow has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Oracle provides robust data security features. Syncing Appfollow data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Appfollow data.
Data Science and Machine Learning: By having Appfollow data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Appfollow provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a Appfollow table that needs to be converted to a Oracle table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Appfollow account as an Airbyte data source connector.
Configure Oracle as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Appfollow to Oracle after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Appfollow to Oracle Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

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 Appfollow?

What data can you extract from Appfollow?

Appfollow's API provides access to a wide range of data related to mobile apps and their performance. The following are the categories of data that can be accessed through Appfollow's API:

1. App Store Optimization (ASO) data: This includes data related to app store rankings, keyword rankings, and user reviews.
2. Competitor analysis data: This includes data related to competitor app rankings, keyword rankings, and user reviews.
3. User acquisition data: This includes data related to app installs, uninstall rates, and user retention rates.
4. App performance data: This includes data related to app crashes, bugs, and other performance issues.
5. Social media data: This includes data related to social media mentions and sentiment analysis.
6. Analytics data: This includes data related to app usage, user engagement, and user behavior.
7. Advertising data: This includes data related to app advertising campaigns, ad performance, and ad spend.

Overall, Appfollow's API provides a comprehensive set of data that can help app developers and marketers make informed decisions about their app's performance and user engagement.

How do I transfer data from Appfollow?

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:
1. Set up Appfollow to Oracle DB as a source connector (using Auth, or usually an API key)
2. 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
3. Define which data you want to transfer from Appfollow to Oracle DB and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

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.

Back to all tutorials

Databases

Product Analytics

How to load data from Appfollow to Oracle

Learn how to use Airbyte to synchronize your Appfollow data into Oracle within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Appfollow

Step 2: Setup Oracle

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Appfollow and Oracle

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Appfollow as a source connector (using Auth, or usually an API key)
set up Oracle as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Appfollow

What is Oracle

Integrate Appfollow with Oracle in minutes

Try for free now

Prerequisites

A Appfollow account to transfer your customer data automatically from.
A Oracle account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Appfollow as a source connector

Step 2: Set up Oracle as a destination connector

Step 3: Set up a connection to sync your Appfollow data to Oracle

Once you've successfully connected Appfollow as a data source and Oracle as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Appfollow from the dropdown list of your configured sources.
Select your destination: Choose Oracle from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Appfollow objects you want to import data from towards Oracle. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Appfollow to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your Appfollow data.

Use Cases to transfer your Appfollow data to Oracle

Integrating data from Appfollow to Oracle provides several benefits. Here are a few use cases:

Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Appfollow data, extracting insights that wouldn't be possible within Appfollow alone.
Data Consolidation: If you're using multiple other sources along with Appfollow, syncing to Oracle allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Appfollow has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Oracle provides robust data security features. Syncing Appfollow data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Appfollow data.
Data Science and Machine Learning: By having Appfollow data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Appfollow provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a Appfollow table that needs to be converted to a Oracle table, Airbyte can do that automatically.