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DBMS > Hive vs. InterSystems IRIS vs. LeanXcale vs. Transwarp ArgoDB vs. Yaacomo

System Properties Comparison Hive vs. InterSystems IRIS vs. LeanXcale vs. Transwarp ArgoDB vs. Yaacomo

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLeanXcale  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDistributed Analytical Database to replace Hadoop+MPP hybrid architectureOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.12
Rank#343  Overall
#151  Relational DBMS
Websitehive.apache.orgwww.intersystems.com/­products/­intersystems-iriswww.leanxcale.comwww.transwarp.cn/­en/­product/­argodbyaacomo.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperApache Software Foundation infoinitially developed by FacebookInterSystemsLeanXcaleTranswarpQ2WEB GmbH
Initial release2012201820152009
Current release3.1.3, April 20222023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
Android
Linux
Windows
Data schemeyesdepending on used data modelyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough Apache Derbyyesyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveInterSystems IRISLeanXcaleTranswarp ArgoDBYaacomo
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
HiveInterSystems IRISLeanXcaleTranswarp ArgoDBYaacomo
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