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DBMS > Graph Engine vs. Hive vs. IBM Cloudant vs. Ignite

System Properties Comparison Graph Engine vs. Hive vs. IBM Cloudant vs. Ignite

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase 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.
Primary database modelGraph DBMS
Key-value store
Relational DBMSDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websitewww.graphengine.iohive.apache.orgwww.ibm.com/­products/­cloudantignite.apache.org
Technical documentationwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docs
DeveloperMicrosoftApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2010201220102015
Current release3.1.3, April 2022Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaErlangC++, Java, .Net
Server operating systems.NETAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersnonoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users can be defined per databaseSecurity Hooks for custom implementations

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More resources
Graph Engine infoformer name: TrinityHiveIBM CloudantIgnite
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