DBMS > MongoDB vs. TerarkDB vs. YugabyteDB
System Properties Comparison MongoDB vs. TerarkDB vs. YugabyteDB
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|Editorial information provided by DB-Engines|
|Name||MongoDB Xexclude from comparison||TerarkDB Xexclude from comparison||YugabyteDB Xexclude from comparison|
|Description||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB||High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.|
|Primary database model||Document store||Key-value store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Wide column store
|Developer||MongoDB, Inc||Terark||Yugabyte Inc.|
|Current release||6.0.1, August 2022||2.17, December 2022|
|License Commercial or Open Source||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||commercial restricted open source version available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no MongoDB available as DBaaS (MongoDB Atlas)||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.||YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.|
|Implementation language||C++||C++||C and C++|
|Server operating systems||Linux|
|Data scheme||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||schema-free||depending on used data model|
|Typing predefined data types such as float or date||yes string, integer, double, decimal, boolean, date, object_id, geospatial||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||Read-only SQL queries via the MongoDB Connector for BI||no||yes, PostgreSQL compatible|
|APIs and other access methods||proprietary protocol using JSON||C++ API|
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
|Supported programming languages||Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes in MongoDB Atlas only||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||none||Hash and Range Sharding, row-level geo-partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|none||Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Strong consistency on writes and tunable consistency on reads|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Multi-document ACID Transactions with snapshot isolation||no||Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes optional, enabled by default||yes||yes based on RocksDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes In-memory storage engine introduced with MongoDB version 3.2||yes||no|
|User concepts Access control||Access rights for users and roles||no||yes|
|More information provided by the system vendor|
|Specific characteristics||YugabyteDB is an open source distributed SQL database for cloud native transactional...|
|Competitive advantages||PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....|
|Typical application scenarios||Systems of record and engagement for cloud native applications that require resilience,...|
|Market metrics||2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...|
|Licensing and pricing models||Apache 2.0 license for the database|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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