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DBMS > IBM Cloudant vs. Ignite vs. MonetDB vs. RavenDB

System Properties Comparison IBM Cloudant vs. Ignite vs. MonetDB vs. RavenDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitewww.ibm.com/­products/­cloudantignite.apache.orgwww.monetdb.orgravendb.net
Technical documentationcloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docswww.monetdb.org/­Documentationravendb.net/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationMonetDB BVHibernating Rhinos
Initial release2010201520042010
Current releaseApache Ignite 2.6Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++, Java, .NetCC#
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ryes
Triggersyesyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)none infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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IBM CloudantIgniteMonetDBRavenDB
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