Apache Derby VS Apache Spark

Apache Derby Reviews

Apache Spark Reviews

Apache Derby mentions (3)

• From BotFather to 'Hello World'

  Implementing a database is out of scope for this guide, however, several guides are available online for simple embedded open source software solutions like SQLite, HyperSQL, Derby, and many more. - Source: dev.to / over 1 year ago

• Apache Spark, Hive, and Spring Boot — Testing Guide

  And finally, here comes test scoped artefacts. Apache Spark ones are included as testImplementation. Because integration tests will start the local Spark node. So, they are required during the runtime. The slf4j-api is also the runtime dependency. Testcontainers will be used to run the Aerospike instance. The janino is required by Apache Spark during the job execution. And we need Apache Derby to tune Apache Hive... - Source: dev.to / about 2 years ago

• In Praise of PostgreSQL

  It most certainly is not just in-memory; it can do in-memory, but also has file and server options: https://h2database.com/html/features.html#connection_modes Exact same story for its HyperSQL and Derby friends: http://hsqldb.org/doc/2.0/guide/running-chapt.html#rgc_hsqldb_db https://db.apache.org/derby/#What+is+Apache+Derby%3F. - Source: Hacker News / over 2 years ago

Apache Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  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 / 4 months ago

• Five Apache projects you probably didn't know about

  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

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago