DBMS > GridDB vs. MongoDB vs. VoltDB
System Properties Comparison GridDB vs. MongoDB vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||GridDB Xexclude from comparison||MongoDB Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Scalable in-memory time series database optimized for IoT and Big Data||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||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||Time Series DBMS||Document store||Relational DBMS|
|Secondary database models||Key-value store|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|Developer||Toshiba Corporation||MongoDB, Inc||VoltDB Inc.|
|Current release||5.1, August 2022||6.0.7, June 2023||11.3, April 2022|
|License Commercial or Open Source||Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also 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||no MongoDB available as DBaaS (MongoDB Atlas)||no|
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|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.|
|Implementation language||C++||C++||Java, C++|
|Server operating systems||Linux||Linux|
OS X for development
|Data scheme||yes||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.||yes|
|Typing predefined data types such as float or date||yes numerical, string, blob, geometry, boolean, timestamp||yes string, integer, double, decimal, boolean, date, object_id, geospatial||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||SQL92, SQL-like TQL (Toshiba Query Language)||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes only a subset of SQL 99|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
proprietary protocol using JSON
RESTful HTTP/JSON API
|Supported programming languages||C|
|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||yes in MongoDB Atlas only||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||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.||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate consistency within container, eventual consistency across containers||Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID at container level||Multi-document ACID Transactions with snapshot isolation||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||yes optional, enabled by default||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||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||Access rights for users can be defined per database||Access rights for users and roles||Users and roles with access to stored procedures|
|More information provided by the system vendor|
|Specific characteristics||GridDB is a highly scalable, in-memory time series database optimized for IoT and...|
|MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...|
|Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.|
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...|
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||GitHub trending repository|
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Licensing and pricing models||Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)|
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
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|3rd parties||Studio 3T: The world's favorite IDE for working with MongoDB|
CData: Connect to Big Data & NoSQL through standard Drivers.
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