Airbyte is recommended for organizations and developers who prefer an open-source tool for data integration, specifically those who want to create custom connectors or have unique data integration requirements. It's particularly suitable for technology-savvy teams who are comfortable working with a modular system and can contribute or adapt to the evolving ecosystem.
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Based on our record, Airbyte seems to be a lot more popular than Databricks Unified Analytics Platform. While we know about 53 links to Airbyte, we've tracked only 1 mention of Databricks Unified Analytics Platform. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
See more here: https://databricks.com/product/data-lakehouse. Source: about 3 years ago
Airbyte is an open-source data integration platform that supports log-based CDC from databases like Postgres, MySQL, and SQL Server. To assist log-based CDC, Airbyte uses Debezium to capture various operations like INSERT and UPDATE. - Source: dev.to / about 2 months ago
Whenever we discuss event streaming, Kafka inevitably enters the conversation. As the de facto standard for event streaming, Kafka is widely used as a data pipeline to move data between systems. However, Kafka is not the only tool capable of facilitating data movement. Products like Fivetran, Airbyte, and other SaaS offerings provide user-friendly tools for data ingestion, expanding the options available to... - Source: dev.to / 4 months ago
Let’s say I’m using Cursor to build a bunch of data apps and using Airbyte as the data movement platform and Streamlit for the frontend. I’m writing in Python and using the Airbyte API libraries. This is my basic ‘tech stack’. - Source: dev.to / 5 months ago
Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / 5 months ago
Open source tools like Apache Superset, Airbyte, and DuckDB are providing cost-effective and customizable solutions for data professionals. Becoming adept at these tools not only reduces dependency on proprietary software but also fosters community engagement. - Source: dev.to / 6 months ago
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
QuickBI - Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
Meltano - Open source data dashboarding