Based on our record, CouchDB should be more popular than Apache Pig. It has been mentiond 16 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
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)