OceanBase vs ScyllaDB
Overview
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Detailed Comparison
ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. | It is a native distributed relational database. It is developed entirely by Alibaba and Ant Group. It is built on a common server cluster. Based on the Paxos protocol and its distributed structure, it provides high availability and linear scalability. It is not dependent on specific hardware architectures. |
High availability; horizontal scalability; vertical scalability; Cassandra compatible; DynamoDB compatible; wide column; NoSQL; lightweight transactions; change data capture; workload prioritization; shard-per-core; IO scheduler; self-tuning | High availability Single server failure recovers automatically. OceanBase Database supports cross-city disaster tolerance for multiple IDCs and zero data loss. OceanBase Database meets the financial industry Level 6 disaster recovery standard (RPO=0, RTO<=30 seconds);
Linear scalability OceanBase Database scales transparently to applications and balances the system load automatically. Its cluster can contain more than 1500 nodes. The data volume can reach petabytes. The records in a single table can be more than a trillion rows;
Highly compatible with MySQL OceanBase Database is compatible with MySQL protocol and syntax. You can access to OceanBase Database by using MySQL client;
High performance OceanBase Database supports quasi memory level data change and exclusive encoding compression. Together with the linear scalability, OceanBase Database provides high performance;
Low cost OceanBase Database uses PC servers and cheap SSDs. Its high storage compression ratio and high performance also reduce the storage cost and the computing cost;
Multi-tenancy OceanBase Database supports native multi-tenancy architecture. One cluster supports multiple businesses. Data is isolated among tenants. This reduces the deployment, operation, and maintenance costs |
Statistics | |
GitHub Stars - | GitHub Stars 9.6K |
GitHub Forks - | GitHub Forks 1.8K |
Stacks 143 | Stacks 4 |
Followers 197 | Followers 6 |
Votes 8 | Votes 8 |
Pros & Cons | |
Pros
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Integrations | |
What are some alternatives to ScyllaDB, OceanBase?
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
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.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
RethinkDB
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
ArangoDB
A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
