Top companies trust Airbyte to centralize their Data
Sync your Data
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
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- 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
Including for your Airbyte Open Source instance with our premium support.
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.
Ready to get started?
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.
PartnerStack is an affiliate and partner management platform that is specialized in B2B SaaS and it is a leading affiliate marketing platform that enables businesses to quickly and easily launch their Affiliate Program. PartnerStack is the only partnership platform built for SaaS, designed to provide predictable revenue and accelerate growth for software businesses. PartnerStack is a full-stack solution that will help your business create and launch new affiliate programs. PartnerStack is a tool our Agency Partners and Affiliates can use to earn a commission for referring their clients.
For huge analytical tables, Apache Iceberg is a high-performance format. Using Apache Iceberg, engines such as Spark, Trino, Flink, Presto, Hive and Impala can safely work with the same tables, at the same time, providing the reliability and simplicity of SQL tables to big data. With Apache Iceberg, you can merge new data, update existing rows, and delete specific rows. Data files can be eagerly rewritten or deleted deltas can be used to make updates faster.
PartnerStack's API provides access to a wide range of data related to partner and affiliate marketing programs. The following are the categories of data that can be accessed through PartnerStack's API:
1. Partner Data: This includes information about the partners who have signed up for the program, such as their name, email address, and referral code.
2. Referral Data: This includes information about the referrals made by partners, such as the referral ID, the date of the referral, and the amount of commission earned.
3. Commission Data: This includes information about the commission earned by partners, such as the commission amount, the date of the commission, and the payment status.
4. Program Data: This includes information about the partner program itself, such as the program name, the commission structure, and the program rules.
5. Performance Data: This includes information about the performance of the partner program, such as the number of referrals, the conversion rate, and the revenue generated.
6. Analytics Data: This includes information about the analytics of the partner program, such as the traffic sources, the conversion funnel, and the ROI.
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.