Technology Security Analyst
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.
Below are the lists of points, describe the key differences between Cassandra and Redis:
Below is the comparison table between Cassandra and Redis:
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.
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