Apache Flink VS Steampipe

You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 14 days ago

Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago

Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

Steampipe is a tool for querying cloud APIs and other data sources using SQL in a zero-ETL manner. - Source: dev.to / about 2 months ago

Few projects in the same realm that you should also checkout - [1] Steampipe (https://steampipe.io/) [2] InfraSQL (https://iasql.com/). - Source: Hacker News / 3 months ago

In a prior post I showed how to install Steampipe in AWS CloudShell to instantly query over 460+ resource types from your AWS APIs using SQL, and another post on how to use the Steampipe AWS Compliance mod to assess over 25+ security benchmarks across your AWS accounts. - Source: dev.to / 4 months ago

This seems similar to this[1] Steampipe[2] plugin. [1] https://github.com/turbot/steampipe-plugin-github. - Source: Hacker News / 4 months ago

Steampipe [1] is an open source project [2] that includes an embedded Postgres to instantly query cloud, code & more with SQL. This release expands our plugin ecosystem [3] to be a full Zero-ETL platform. Steampipe plugins can now run natively in your own Postgres as Foreign Data Wrappers [4], as SQLite extensions [5] or as simple data export tools [6]. Please give it a try, we'd love your feedback and... - Source: Hacker News / 5 months ago