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Cassandra

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Redis

38.2K
28K
+ 1
3.9K
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Cassandra vs Redis: What are the differences?

Cassandra: A partitioned row store. Rows are organized into tables with a required primary key. Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL; Redis: An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

Cassandra belongs to "Databases" category of the tech stack, while Redis can be primarily classified under "In-Memory Databases".

"Distributed", "High performance" and "High availability" are the key factors why developers consider Cassandra; whereas "Performance", "Super fast" and "Ease of use " are the primary reasons why Redis is favored.

Cassandra and Redis are both open source tools. Redis with 37.4K GitHub stars and 14.4K forks on GitHub appears to be more popular than Cassandra with 5.27K GitHub stars and 2.35K GitHub forks.

Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas Cassandra is used by Uber Technologies, Facebook, and Spotify. Redis has a broader approval, being mentioned in 3264 company stacks & 1786 developers stacks; compared to Cassandra, which is listed in 342 company stacks and 240 developer stacks.

Advice on Cassandra and Redis
Vinay Mehta
Needs advice
on
Scylla
and
Cassandra

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

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Replies (4)
Pankaj Soni
Chief Technical Officer at Software Joint | 2 upvotes 路 35.5K views
Recommends
Cassandra

i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra

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Alex Peake
Recommends
Cassandra

Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.

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Recommends
Scylla

Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring

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Recommends
Scylla

By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.

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Pros of Cassandra
Pros of Redis
  • 107
    Distributed
  • 90
    High performance
  • 77
    High availability
  • 71
    Easy scalability
  • 50
    Replication
  • 25
    Reliable
  • 24
    Multi datacenter deployments
  • 6
    Schema optional
  • 6
    OLTP
  • 5
    Open source
  • 2
    Workload separation (via MDC)
  • 877
    Performance
  • 535
    Super fast
  • 511
    Ease of use
  • 442
    In-memory cache
  • 321
    Advanced key-value cache
  • 190
    Open source
  • 179
    Easy to deploy
  • 163
    Stable
  • 153
    Free
  • 120
    Fast
  • 40
    High-Performance
  • 39
    High Availability
  • 34
    Data Structures
  • 32
    Very Scalable
  • 23
    Replication
  • 20
    Great community
  • 19
    Pub/Sub
  • 17
    "NoSQL" key-value data store
  • 14
    Hashes
  • 12
    Sets
  • 10
    Sorted Sets
  • 9
    Lists
  • 8
    BSD licensed
  • 8
    NoSQL
  • 7
    Async replication
  • 7
    Integrates super easy with Sidekiq for Rails background
  • 7
    Bitmaps
  • 6
    Open Source
  • 6
    Keys with a limited time-to-live
  • 5
    Strings
  • 5
    Lua scripting
  • 4
    Awesomeness for Free!
  • 4
    Hyperloglogs
  • 3
    outstanding performance
  • 3
    Runs server side LUA
  • 3
    Networked
  • 3
    LRU eviction of keys
  • 3
    Written in ANSI C
  • 3
    Feature Rich
  • 3
    Transactions
  • 2
    Data structure server
  • 2
    Performance & ease of use
  • 1
    Existing Laravel Integration
  • 1
    Automatic failover
  • 1
    Easy to use
  • 1
    Object [key/value] size each 500 MB
  • 1
    Simple
  • 1
    Channels concept
  • 1
    Scalable
  • 1
    Temporarily kept on disk
  • 1
    Dont save data if no subscribers are found
  • 0
    Jk

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Cons of Cassandra
Cons of Redis
  • 2
    Reliability of replication
  • 1
    Updates
  • 12
    Cannot query objects directly
  • 1
    No WAL
  • 1
    No secondary indexes for non-numeric data types

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