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OceanBase VS Apache Cassandra

Compare OceanBase VS Apache Cassandra and see what are their differences

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OceanBase logo OceanBase

Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Not present

OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The OceanBase Database is not dependent on specific hardware architectures.

  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

OceanBase features and specs

  • Transparent Scalability: 1,500 nodes, PB data and a trillion rows of records in one cluster.
  • Ultra-fast Performance: TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
  • Cost Efficiency: saves 70%–90% of storage costs.
  • Real-time Analytics: supports HTAP without additional cost.
  • Continuous Availability: RPO = 0(zero data loss) and RTO < 8s(recovery time).
  • MySQL Compatible: easily migrated from MySQL database.

Apache Cassandra features and specs

No features have been listed yet.

OceanBase videos

+ Add

Architecture Insight of OceanBase: A Distributed SQL Database (Charlie Yang)

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to OceanBase and Apache Cassandra)

OceanBase

Apache Cassandra

Relational Databases
19 19%
Relational Databases
81% 81
Databases
7 7%
Databases
93% 93
NoSQL Databases
1 1%
NoSQL Databases
99% 99
Task Management
100 100%
Task Management
0% 0

User comments

Share your experience with using OceanBase and Apache Cassandra. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare OceanBase and Apache Cassandra

OceanBase Reviews

We have no reviews of OceanBase yet.
Be the first one to post

Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 42 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OceanBase mentions (0)

We have not tracked any mentions of OceanBase yet. Tracking of OceanBase recommendations started around Jun 2024.

Apache Cassandra mentions (42)

  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 9 days ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 months ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 10 months ago
View more

What are some alternatives?

When comparing OceanBase and Apache Cassandra, you can also consider the following products

MySQL - The world's most popular open source database

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

TiDB - A distributed NewSQL database compatible with MySQL protocol

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

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