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DBMS > Datastax Enterprise vs. GridDB vs. MongoDB

System Properties Comparison Datastax Enterprise vs. GridDB vs. MongoDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGridDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Scalable in-memory time series database optimized for IoT and Big DataOne of the most popular document stores
Primary database modelWide column storeTime Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.63
Rank#42  Overall
#4  Wide column stores
Score0.48
Rank#203  Overall
#10  Time Series DBMS
Score410.06
Rank#5  Overall
#1  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisegriddb.netwww.mongodb.com
Technical documentationdocs.datastax.comgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.mongodb.com/­manual
DeveloperDataStaxToshiba CorporationMongoDB, Inc
Initial release201120132009
Current release6.7, December 20184.2, June 20194.0.10, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database in minutes.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infoAlthough 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.
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)Read-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Proprietary protocolproprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go infoinofficial driver
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresnonoJavaScript
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID at container levelMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseGridDBMongoDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
MongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
By offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
ADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
GitHub trending repository
» more
40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsAnnual subscription
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
MongoDB database server: Free Software Foundation's GNU AGPL v3.0. Commercial licenses...
» more
Related products and services
3rd partiesScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Datastax EnterpriseGridDBMongoDB
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