What is the best alternative to Cassandra?

Only takes about 30 seconds to install. They also have a docker file for running it on AWS, Google Cloud or your own.

RethinkDB is scalable horizontally. It has support for sharding, parallel queries and MVCC concurrency.

You can listen to changes and trigger code based on these changes.

Couchbase N1QL allows native SQL processing over JSON data with high performance indexing for low latency queries at scale.

Couchbase and Couchbase Mobile are open source and released under the Apache License.

With Couchbase you can make "Views" of data, which are practically predefined queries which are fetched with an O(1) algorithm.

PostgreSQL performance increases with each release, this is also proven by many benchmark tests. Notable performance features include: As PostgreSQL only supports one storage engine, it has been able to integrate and optimise it and with the rest of the database. This has resulted in multiple...

PostgreSQL is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. PostgreSQL has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those check...

PostgreSQL has a strong community backing it, with guides, tutorials and support for any kind of problem a developer may have.

You can choose to host your database on a single cloud provider or you can replicate it over several different providers.

Users can choose whether their database instance will run on bare-metal or a virtual machine

The database behind Cloudant, CouchDB uses an append-only file for it's data. To restore already used up space, a compaction must happen. When this happens is up to the database maintainer.

CouchDB works very well even when the network is physically partitioned

CouchDB is considered an available DMS according to the ACP theory of database management. As such it allows every client to always read and write

CouchDB is mostly used in applications where a large amount of data needs to be accumulated and where data only changes rarely.

Concourse tracks versions of your data by default. This way you can easily edit data without being afraid of losing anything since Concourse can easily revert to a previous state.

ConcourseDB is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. ConcourseDB has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those chec...

Because of its powerful version control capabilities, Concourse can easily and painlessly query and get data from any point in the past.

Since MySQL is one of the most popular relational databases, maybe the most popular, there exist many third-party tools and applications that help developers to use MySQL in their development.

Because of it's popularity there are a lot of tutorials and guides out there that help developers install and work with MySQL. The installation process itself is not very hard and there are multiple powerful GUI tools that make it extremely easy to work with MySQL for a beginner.

MySQL is made to handle a lot of data and to be used in large applications. This makes it extremely scalable and fast, even under a lot of workload.

MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove...

Mongo is very flexible in that it doesn't require a unified data structure across all objects. So it's rather easy to use.

Miles above other databases in educational resources.