DBMS > GridGain vs. MongoDB vs. XTDB
System Properties Comparison GridGain vs. MongoDB vs. XTDB
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|Editorial information provided by DB-Engines|
|Name||GridGain Xexclude from comparison||MongoDB Xexclude from comparison||XTDB formerly named Crux Xexclude from comparison|
|Description||GridGain is an in-memory computing platform, built on Apache Ignite||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A general purpose database with bitemporal SQL and Datalog and graph queries|
|Primary database model||Key-value store|
|Document store||Document store|
|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||GridGain Systems, Inc.||MongoDB, Inc||Juxt Ltd.|
|Current release||GridGain 8.5.1||6.0.5, March 2023||1.19, September 2021|
|License Commercial or Open Source||commercial||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 MIT License|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java, C++, .Net||C++||Clojure|
|Server operating systems||Linux|
|All OS with a Java 8 (and higher) VM|
|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.||schema-free|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes, extensible-data-notation format|
|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.||yes||no|
|SQL Support of SQL||ANSI-99 for query and DML statements, subset of DDL||Read-only SQL queries via the MongoDB Atlas SQL Interface||limited SQL, making use of Apache Calcite|
|APIs and other access methods||HDFS API|
RESTful HTTP API
proprietary protocol using JSON
|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
|Triggers||yes (cache interceptors and events)||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.||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes (replicated cache)||Multi-Source deployments with MongoDB Atlas Global Clusters|
|yes, each node contains all data|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes (compute grid and hadoop accelerator)||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||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|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Multi-document ACID Transactions with snapshot isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB|
|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||Security Hooks for custom implementations||Access rights for users and roles|
|More information provided by the system vendor|
|GridGain||MongoDB||XTDB formerly named Crux|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||Internet of Things and Time Series (Bosch, GE Healthcare, Jaguar Land Rover) Mobile...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||365+ million downloads, over 150,000+ Atlas clusters provisioned every month handling...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
We invite representatives of system vendors to contact us for updating and extending the system information,
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|3rd parties||Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.|
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|GridGain||MongoDB||XTDB formerly named Crux|
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