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DBMS > Hive vs. Lovefield vs. OrigoDB vs. PostGIS

System Properties Comparison Hive vs. Lovefield vs. OrigoDB vs. PostGIS

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLovefield  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostGIS  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable relational database for web apps written in pure JavaScriptA fully ACID in-memory object graph databaseSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitehive.apache.orggoogle.github.io/­lovefieldorigodb.compostgis.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docspostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookGoogleRobert Friberg et al
Initial release201220142009 infounder the name LiveDB2005
Current release3.1.3, April 20222.1.12, February 20173.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open SourceOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC#C
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
PHP
Python
JavaScript.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesuser defined functions
TriggersnoUsing read-only observersyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesno
User concepts infoAccess controlAccess rights for users, groups and rolesnoRole based authorizationyes infobased on PostgreSQL

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More resources
HiveLovefieldOrigoDBPostGIS
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