Need advice about which tool to choose?Ask the StackShare community!

Cassandra

3.3K
3.3K
+ 1
494
YugabyteDB

36
83
+ 1
0
Add tool

Cassandra vs YugabyteDB: What are the differences?

What is 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.

What is YugabyteDB? High-performance, , cloud-native distributed SQL database. It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions.

Cassandra can be classified as a tool in the "Databases" category, while YugabyteDB is grouped under "Search Engines".

Cassandra and YugabyteDB are both open source tools. Cassandra with 5.54K GitHub stars and 2.46K forks on GitHub appears to be more popular than YugabyteDB with 3.15K GitHub stars and 277 GitHub forks.

Advice on Cassandra and YugabyteDB
Vinay Mehta
Needs advice
on
ScyllaDBScyllaDB
and
CassandraCassandra

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.

See more
Replies (4)
Recommends
ScyllaDBScyllaDB

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.

See more
Pankaj Soni
Chief Technical Officer at Software Joint · | 2 upvotes · 77K views
Recommends
CassandraCassandra

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

See more
Recommends
ScyllaDBScyllaDB

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

See more
Alex Peake
Recommends
CassandraCassandra

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.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Cassandra
Pros of YugabyteDB
  • 115
    Distributed
  • 95
    High performance
  • 80
    High availability
  • 74
    Easy scalability
  • 52
    Replication
  • 26
    Multi datacenter deployments
  • 26
    Reliable
  • 9
    OLTP
  • 7
    Open source
  • 7
    Schema optional
  • 2
    Workload separation (via MDC)
  • 1
    Fast
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of Cassandra
    Cons of YugabyteDB
    • 3
      Reliability of replication
    • 1
      Updates
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is Cassandra?

      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.

      What is YugabyteDB?

      An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Cassandra?
      What companies use YugabyteDB?
      See which teams inside your own company are using Cassandra or YugabyteDB.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Cassandra?
      What tools integrate with YugabyteDB?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      What are some alternatives to Cassandra and YugabyteDB?
      HBase
      Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
      Google Cloud Bigtable
      Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
      Hadoop
      The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Couchbase
      Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
      See all alternatives