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DBMS > GigaSpaces vs. Heroic vs. Microsoft Azure AI Search vs. OpenQM vs. Trafodion

System Properties Comparison GigaSpaces vs. Heroic vs. Microsoft Azure AI Search vs. OpenQM vs. Trafodion

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentQpenQM is a high-performance, self-tuning, multi-value DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSSearch engineMultivalue DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.gigaspaces.comgithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtrafodion.apache.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchtrafodion.apache.org/­documentation.html
DeveloperGigaspaces TechnologiesSpotifyMicrosoftRocket Software, originally Martin PhillipsApache Software Foundation, originally developed by HP
Initial release20002014201519932014
Current release15.5, September 2020V13.4-122.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC++, Java
Server operating systemsLinux
macOS
Solaris
Windows
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes 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.no infoXML can be used for describing objects metadatanonoyesno
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnononoyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
.Net
Basic
C
Java
Objective C
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonoyesJava Stored Procedures
Triggersyes, event driven architecturenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesyes infoImplicit feature of the cloud serviceyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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.yesnonono
User concepts infoAccess controlRole-based access controlyes infousing Azure authenticationAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
GigaSpacesHeroicMicrosoft Azure AI SearchOpenQM infoalso called QMTrafodion
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