DBMS > MongoDB vs. TerarkDB vs. VoltDB
System Properties Comparison MongoDB vs. TerarkDB vs. VoltDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||MongoDB Xexclude from comparison||TerarkDB Xexclude from comparison||VoltDB 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||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|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
|Developer||MongoDB, Inc||Terark||VoltDB Inc.|
|Current release||6.0.1, August 2022||11.3, April 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 AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|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.|
|Implementation language||C++||C++||Java, C++|
|Server operating systems||Linux|
OS X for development
|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||yes|
|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|
|SQL Support of SQL||Read-only SQL queries via the MongoDB Connector for BI||no||yes only a subset of SQL 99|
|APIs and other access methods||proprietary protocol using JSON||C++ API|
RESTful HTTP/JSON API
|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
Erlang not officially supported
|Triggers||yes in MongoDB Atlas only||no||no|
|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||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|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
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Multi-document ACID Transactions with snapshot isolation||no||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes optional, enabled by default||yes||yes Snapshots and command logging|
|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|
|User concepts Access control||Access rights for users and roles||no||Users and roles with access to stored procedures|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Studio 3T: The world's favorite IDE for working with MongoDB|
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
CData: Connect to Big Data & NoSQL through standard Drivers.
Percona: Database problems? Not on your watch.
Databases run better with Percona.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2021
|Recent citations in the news|
MongoDB, Inc. (NASDAQ:MDB) Shares Acquired by Bank Julius ...
Why Datadog, MongoDB, and CrowdStrike Were Sinking Today
Cloud-Computing Stocks Rally as Microsoft Results Bring Relief ...
Premarket Mover: Mongodb Inc (MDB) Down 2.44%
Satori Expands Support to NoSQL Databases, Streamlines Secure ...
provided by Google News
Understand NVMe 2.0 specification and its related features
Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
provided by Google News
Database Management System (DBMS) Market Technology ...
In-Memory Database Market Business Growth 2023 [Latest Report ...
VoltDB Launches Active(N) Lossless Cross Data Center Replication
VoltDB Aims for Fast Big Data Development -- ADTmag
Volt Active Data Sees Explosive Growth
provided by Google News
SDET with Spring cloud and Spring Boot
Software Test Engineer (entry-level)
Share this page