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DBMS > GeoSpock vs. Hive vs. Ignite vs. OpenQM vs. Titan

System Properties Comparison GeoSpock vs. Hive vs. Ignite vs. OpenQM vs. Titan

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTitan  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionSpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.QpenQM is a high-performance, self-tuning, multi-value DBMSTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Multivalue DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegeospock.comhive.apache.orgignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­thinkaurelius/­titan
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookApache Software FoundationRocket Software, originally Martin PhillipsAurelius, owned by DataStax
Initial release2012201519932012
Current release2.0, September 20193.1.3, April 2022Apache Ignite 2.63.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++, Java, .NetJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBCJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)yesyes
Triggersnonoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingyesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 tableAccess rights for users, groups and rolesSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelUser authentification and security via Rexster Graph Server

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More resources
GeoSpockHiveIgniteOpenQM infoalso called QMTitan
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