Airbyte
Fivetran
QuickBI
Meltano
Supermetrics
Segment
Hevo Data
Zapier
.NET for Apache Spark
Apache Flume
Vertica
Apache Flink
Printopia
Apache Druid
AWS Glue
Presto DB
Airbyte .NET for Apache SparkNo features have been listed yet.
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Based on our record, Airbyte seems to be a lot more popular than .NET for Apache Spark. While we know about 53 links to Airbyte, we've tracked only 3 mentions of .NET for Apache Spark. 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.
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 1 month 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
I assume you are talking about this https://dotnet.microsoft.com/en-us/apps/data/spark. Source: over 2 years ago
Good question! The API and the authoring experience is .NET, but the backend is Apache Spark which is built on the JVM. We use the .NET for Apache Spark to do the parallization. Source: almost 3 years ago
Yes that's correct. SynapseML builds on top of the Apache Spark for .NET project which provides .NET support for the Apache Spark distributed computing framework. Apache Spark is written in Scala (a language on the JVM) but has language bindings in Python, R, .NET and other languages. This release adds full .NET language support for all of the models and learners in the SynapseML library so you can author... Source: almost 3 years ago
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data
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.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
Meltano - Open source data dashboarding
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.