Based on our record, Apache Spark should be more popular than CouchDB. It has been mentiond 56 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.
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline. Source: 12 months ago
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on Replication and reliability. One of the most significant differences Between CouchDB and a relational database (besides the absence of tables And schemas) is how you query data. Relational databases allow their Users to execute arbitrary and dynamic queries via SQL. Each SQL query may look Completely... - Source: dev.to / about 1 year ago
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with. Source: almost 2 years ago
You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you. Source: almost 2 years ago
I've heard people recommend CouchDB, no personal expience though. It is also nosql, somewhat similar to mongo. The selling feature is easy scalability. I'm planning to take a weekend to try it out myself. Https://couchdb.apache.org/. Source: almost 2 years ago
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
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
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
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Hadoop - Open-source software for reliable, scalable, distributed computing