Redis (Remote DIctionary Server) is an advanced NoSQL key-value data store used as a database, cache, and message broker. Redis is known for its fast read and writes operations, rich data types, and advanced memory structure. It is ideal for developing high-performance, scalable web applications.

Redis is one of the most popular key-value databases, ranking at #4 in user satisfaction for NoSQL databases. The popularity of Redis continues to rise, and many companies are seeking Redis developers for roles like database administrator and beyond.

In this tutorial, we will introduce you to Redis and show you everything you need to get started.

Apache Cassandra™ is the only distributed NoSQL database that delivers always-on availability, blisteringly fast read-write performance, and unlimited linear scalability that enable you to meet the demands of the successful modern applications.

Cassandra and Redis both are ordinarily utilized for bringing and putting away colossal information exceptionally quickly and assisting with finishing live spilling with enormous information without any problem.

As Cassandra is an Apache item, so one of the incredible advantages of utilizing Cassandra is it support Hive QL (SQL-like sentence structure). Cassandra following the design of a typical segment/table organization arranged data set which is especially very much upheld by the recorded RDMS. It additionally does not uphold full CAP (Consistency, Availability, and Partition Tolerance), can think about as old as (accessibility and parcel resilience). Assume you have a business necessity to compose or store more information into the framework rather than read information, then, at that point, Cassandra will be one of the great choices. That is the reason Cassandra is excessively well known for certain particular businesses like banking or monetary where the typical demeanor to composing more than perusing (considering whole information including exchange information).

Redis is faster than Cassandra in form of big data fetching and storing especially in the case of live streaming. Redis normally maintained a disk backed in-memory database. It normally maintained master-slave architecture (as the following a line with Hadoop Architecture). And the very interesting point, it mainly followed CP (means consistency and Partition Tolerance) in CAP (Consistency, Availability, and Partition Tolerance) theorem. If an organization really have rapid changing huge data then it will be great to use Redis without thinking any other option. But as Radis mainly in memory database it should have some approximate data size estimation, which considering memory size and all. For any kind of analytics with real data and integrate real-time data streaming with huge data, Redis always be a great option to any industry.

Now it is one of the big concern for any software architect to choose an exact tool for processing huge live date based on industry requirement. Sometimes for one specific organization have two different kinds of requirements where may need to follow both Cassandra vs Redis.

Key Differences Between Cassandra and Redis

Below are the lists of points, describe the key differences between Cassandra and Redis:

Cassandra has been preferable to write more and read less situation. Whereas Redis always used for rapidly changed data on both write and read.

Cassandra can hold huge data in a tabular format which support Hive QL (SQL like language), whereas Redis store the data as a key-value pair which normally not supported any SQL like language.

Cassandra entirely has written in Java language, whereas Redis written in C, C++.

Cassandra normally followed disk-bound in-memory database, whereas Redis following disk backed in-memory database.

Compare to CAP (Consistency, Availability, and Partition Tolerance) theorem, Cassandra following AP (Availability and Partition Tolerance) whereas Redis following CP (Consistency and Partition Tolerance).

Disk swap can be possible for Cassandra, so have importance on VM or Disk store, whereas VM and Disk Store are abandoned for Redis as currently, disk swap is not available for Redis.

Cassandra is a tune able trade-off policy in case of distribution and replication (N, R, W). Whereas Redis following proper Master-Slave replication in-memory database.

As Cassandra supported normal query type language, so query by column or range of verities keys or any data searching criteria can be easily reachable. Whereas Redis always returning simple value or hash tables by key as it stored data as key-value pair always.

Cassandra following big table like features, it holding column or column families for the list of data. Whereas Redis doesn’t have column concept, it stored data as key-value pair always.

For executing any range queries Redis will be always better as it has sorted set option with high score table structure, whereas for Cassandra need to write a proper query to fetch those data which is costly and not much fast like Redis.

Redis has some special utility like has set, has lists, has hashes which help for doing union, difference, inter-sector, returning queue or blocking POP, returning an object of multiple fields. Whereas for Cassandra we always need to write queries to do the same.

Below is the comparison table between Cassandra and Redis:

Main Utility: Store huge datasets easily almost like SQL.

Best Used : If the requirement to write data more than reading, then Cassandra is always a wonderful option any time. And if all the component of provided system set up in Java then again Apache stuff like Cassandra will be an automatic choice.

Example: Industry where mainly requirement to write faster than read always, as for example Banking, Financial Industry.

Main Utility: Storing and reading huge data are very fast.

Protocol: Telnet like and always binary safe.

Best Used : If a requirement of changing huge data very frequently and rapidly then Redis is the correct option to choose always. But database size for Redis always be foreseeable, size should be maintained as per memory size.

Example: If a requirement of changing huge data very frequently and rapidly then Redis is the correct option to choose always. But database size for Redis always be foreseeable, size should be maintained as per memory size.

Whereas Redis always used for rapidly changed data on both write and read. Cassandra can hold huge data in a tabular format which support HiveQL (SQL like language), whereas Redis store the data as a key-value pair which normally not supported any SQL like language.

This article explains to you the main differences between Cassandra vs Redis

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