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DBMS > GeoSpock vs. Hive vs. NCache vs. OrientDB

System Properties Comparison GeoSpock vs. Hive vs. NCache vs. OrientDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonNCache  Xexclude from comparisonOrientDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-Source and Enterprise in-memory Key-Value StoreMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Secondary database modelsTime Series DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitegeospock.comhive.apache.orgwww.alachisoft.com/­ncacheorientdb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.alachisoft.com/­resources/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookAlachisoftOrientDB LTD; CallidusCloud; SAP
Initial release201220052010
Current release2.0, September 20193.1.3, April 20225.3.3, April 20243.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoEnterprise Edition availableOpen Source infoApache version 2
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 languageJava, JavascriptJavaC#, .NET, .NET Core, JavaJava
Server operating systemshostedAll OS with a Java VMLinux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nonono
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language, no joins
APIs and other access methodsJDBCJDBC
ODBC
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno infosupport for stored procedures with SQL-Server CLRJava, Javascript
Triggersnonoyes infoNotificationsHooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with selectable consistency levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 tableAccess rights for users, groups and rolesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and roles; record level security configurable
More information provided by the system vendor
GeoSpockHiveNCacheOrientDB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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GeoSpockHiveNCacheOrientDB
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