Sync from Facebook Marketing to AWS Datalake

with open data movement

Extract and load (ELT) your Facebook Marketing data into AWS Datalake in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.
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Start syncing data from Facebook Marketing to AWS Datalake in three easy steps

1

Setup a Facebook Marketing connector in Airbyte

Connect to Facebook Marketing or one of 400 Airbyte data sources through simple account authentication

2

Set up AWS Datalake as the destination connector

Connect to AWS Datalake or one of 50+ Airbyte data destinations through simple account authentication

3

Sync your Data

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

LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

It’s never been easier to integrate your Facebook Marketing data into AWS Datalake

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.
Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

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 Facebook Marketing?

Facebook Marketing is an extension of Facebook’s online social networking service. Making strategic use of its gigantic user base, Facebook has partnered with AXA Group to leverage the power of people connections (over 1.32 billion active users monthly) for extraordinarily efficient digital marketing and commercial collaboration. Through Facebook’s huge user base, Facebook Marketing is able to reach unprecedented numbers of people with personalized sales and marketing advertisements, making it a huge addition to the world of marketing.

What is AWS Datalake?

An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.

What data can you extract from Facebook Marketing?

Facebook Marketing's API provides access to a wide range of data that can be used for advertising and marketing purposes. The types of data that can be accessed through the API include:  

1. Ad performance data: This includes metrics such as impressions, clicks, conversions, and cost per action.  
2. Audience data: This includes information about the demographics, interests, and behaviors of the people who engage with your ads.  
3. Campaign data: This includes information about the campaigns you have run, such as budget, targeting, and ad creative.  
4. Page data: This includes information about your Facebook Page, such as the number of likes, followers, and engagement metrics.  
5. Insights data: This includes data about how people are interacting with your content on Facebook, such as reach, engagement, and video views.  
6. Custom audience data: This includes information about the custom audiences you have created, such as their size and composition.  
7. Ad account data: This includes information about your ad account, such as billing and payment information.  

Overall, the Facebook Marketing API provides a wealth of data that can be used to optimize your advertising campaigns and improve your marketing efforts on the platform.

How do I transfer data from Facebook Marketing to AWS Datalake?

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 Facebook Marketing as a source connector (using Auth, or usually an API key)
2. Set up AWS Datalake as a destination connector
3. 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. 

What are top ETL tools to extract data from

The most prominent ETL tools to transfer data from Facebook Marketing to AWS Datalake include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Facebook Marketing and various sources (APIs, databases, and more), transforming it efficiently, and loading it into AWS Datalake 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.

Facebook Marketing to AWS Datalake in minutes.

ETL your Facebook Marketing data into AWS Datalake, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
AWS Datalake
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Facebook Marketing
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Facebook Marketing
and
AWS Datalake
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Facebook Marketing data that you want to replicate.

The Facebook Marketing source connector can be used to sync the following tables:

Ad Set
Includes an ad set is a group of ads that share the same daily or lifetime budget, schedule, bid type, bid info, targeting data, and more.
Ad
Includes creating multiple ads in an ad set helps optimize their delivery based on variations in images, links, video, text, and more.
Ad Creative
Ad Creative
Campaigns
Includes Campaign's ID, Ad Strategy ID, Ad Labels associated with this campaign, budget, Remaining budget, and more.

About Facebook Marketing

Facebook Marketing is an extension of Facebook’s online social networking service. Making strategic use of its gigantic user base, Facebook has partnered with AXA Group to leverage the power of people connections (over 1.32 billion active users monthly) for extraordinarily efficient digital marketing and commercial collaboration. Through Facebook’s huge user base, Facebook Marketing is able to reach unprecedented numbers of people with personalized sales and marketing advertisements, making it a huge addition to the world of marketing.

Start analyzing your Facebook Marketing data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Facebook Marketing

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your AWS Datalake needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

AWS Datalake

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

AWS Datalake

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About AWS Datalake

An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.

Why Choose Airbyte for your Facebook Marketing and AWS Datalake data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Facebook Marketing

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Facebook Marketing account and destination, and your new Facebook Marketing data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Facebook Marketing ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Facebook Marketing to AWS Datalake in minutes

ETL your Facebook Marketing data into AWS Datalake, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Facebook Marketing
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
AWS Datalake
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Facebook Marketing
and
AWS Datalake
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Facebook Marketing database needs.

Full control over the data

The 

Facebook Marketing

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

calendar icon

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Facebook Marketing

Facebook Marketing is an extension of Facebook’s online social networking service. Making strategic use of its gigantic user base, Facebook has partnered with AXA Group to leverage the power of people connections (over 1.32 billion active users monthly) for extraordinarily efficient digital marketing and commercial collaboration. Through Facebook’s huge user base, Facebook Marketing is able to reach unprecedented numbers of people with personalized sales and marketing advertisements, making it a huge addition to the world of marketing.

Start analyzing your Facebook Marketing data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your Facebook Marketing data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your AWS Datalake needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to AWS Datalake.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when AWS Datalake has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About AWS Datalake

An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.

Why choose Airbyte for your Facebook Marketing and AWS Datalake data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your Facebook Marketing data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

Facebook Marketing

account and destination, and your new

Facebook Marketing

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Facebook Marketing

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.