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Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
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- Extensible and scalable for all your needs
- Deployed and governed your way
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What sets Airbyte Apart
Modern GenAI Workflows
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What our users say
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"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!"
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“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.”
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“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”
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.
Fauna merges the flexibility of NoSQL with the relational querying capabilities and ACID consistency of SQL systems. Fauna implements a semi-structured, schema-free, object-relational data model, strict superset of relational, document, object-oriented, and graph. Fauna is a tool in Databases category of tech stack. Inventory of fauna as a tool for sustainable use of economically important mammal species. This is used by animals is a phenomenon in which an animal uses any kind of tool to attain a goal such as acquiring food and water, grooming, defense.
Fauna's API gives access to various types of data, including:
1. Documents: This includes JSON documents that can be stored, retrieved, and queried using Fauna's API.
2. Collections: Collections are groups of documents that share a common schema. They can be used to organize data and make it easier to query.
3. Indexes: Indexes are used to speed up queries by precomputing results. They can be created on any field in a collection.
4. Functions: Functions are reusable blocks of code that can be called from within queries. They can be used to perform complex calculations or manipulate data.
5. Roles: Roles are used to control access to data. They can be used to define permissions for different types of users or applications.
6. Keys: Keys are used to authenticate requests to Fauna's API. They can be used to control access to data and to track usage.
Overall, Fauna's API provides a flexible and powerful way to store, retrieve, and manipulate data. It can be used for a wide range of applications, from simple data storage to complex data analysis and processing.
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.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: