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DBMS > Hive vs. OrigoDB vs. Prometheus vs. Transwarp Hippo

System Properties Comparison Hive vs. OrigoDB vs. Prometheus vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitehive.apache.orgorigodb.comprometheus.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docsprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookRobert Friberg et al
Initial release20122009 infounder the name LiveDB20152023
Current release3.1.3, April 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#GoC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric data onlyVector, Numeric and String
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.no infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnono
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
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 rolesRole based authorizationnoRole based access control and fine grained access rights

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More resources
HiveOrigoDBPrometheusTranswarp Hippo
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