Based on our record, Apache Flink should be more popular than Apache Jena. It has been mentiond 27 times since March 2021. 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.
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 / 28 days 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
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
Another good one I just started working with is AnzoGraph. Also, a product but (at least according to a colleague, I'm just starting to use it myself) you can also do quite a bit of serious work with the community version. Also, GraphDB from OntoText and TBD from Apache Jena as well. Source: over 1 year ago
Completely agree. I'm hoping to one day see Jena [0] compiled to a native image [1]. Having a persistent triple store with transactions, and an inference api in owl/rdfs/shacl with a prolog-like "logic programming engine", running in process like SQLite, would be awesome. [0] https://jena.apache.org/ [1] https://www.graalvm.org/22.0/reference-manual/native-image/. - Source: Hacker News / almost 2 years ago
The first thing you need to decide is how to link your ontology with a programming language. Speaking very broadly there are 2 approaches: 1) Use a library like Apache Jena (for Java) or OWLReady2 (for Python). What these libraries do is enable you to take your model and create objects in your Java or Python program to manipulate it (query it, create instances of classes, set property values, etc.). Source: over 2 years ago
The semantic web is more than just front end. Apache jena is an example of a semantic web library. Source: over 2 years ago
I worked in a semweb company ~10 years ago - https://jena.apache.org/ as a general starting point is a useful library. I remember distinctly OWLIM https://www.w3.org/2001/sw/wiki/Owlim as a great triple store. - Source: Hacker News / about 3 years ago
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Grails - An Open Source, full stack, web application framework for the JVM