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.
Toggl is a favorite app which lets you track how much time you spend on activities. Toggl generally builds work tools to uphold your productivity and eliminate stress. Toggl Track is entirely designed for effortless time tracking. It is a simple but mighty time tracker that exhibits you how much your time is valuable. Time tracking that is easy, powerful, and frictionless. The app that helps you make the most of your time. Start and stop tracking your time with a single tap.
S3 Glue is a server less, salable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. It provides all the capabilities required for data integration, so you can get insights and put your data to use in minutes instead of months. With S3 Glue, there is no infrastructure to set up or manage. You can pay only for the resources consumed while your jobs are continuing.
Toggl's API provides access to a wide range of data related to time tracking and project management. The following are the categories of data that can be accessed through Toggl's API:
1. Time entries: This includes data related to the time spent on tasks, projects, and clients.
2. Projects: This includes data related to the projects being worked on, such as project name, description, and status.
3. Clients: This includes data related to the clients associated with the projects, such as client name, contact information, and billing details.
4. Users: This includes data related to the users who are using Toggl, such as user name, email address, and role.
5. Tags: This includes data related to the tags associated with time entries, projects, and clients.
6. Workspaces: This includes data related to the workspaces in which the projects and time entries are being managed.
7. Reports: This includes data related to the reports generated by Toggl, such as time summary reports, detailed reports, and project reports.
Overall, Toggl's API provides a comprehensive set of data that can be used to track time, manage projects, and generate reports.
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.