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DBMS > GigaSpaces vs. Hyprcubd vs. Ingres vs. Solr

System Properties Comparison GigaSpaces vs. Hyprcubd vs. Ingres vs. Solr

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonSolr  Xexclude from comparison
Hyprcubd seems to be discontinued. 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 TransactionsServerless Time Series DBMSWell established RDBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Spatial 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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.gigaspaces.comhyprcubd.com (offline)www.actian.com/­databases/­ingressolr.apache.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingressolr.apache.org/­resources.html
DeveloperGigaspaces TechnologiesHyprcubd, Inc.Actian CorporationApache Software Foundation
Initial release20001974 infooriginally developed at University Berkely in early 1970s2006
Current release15.5, September 202011.2, May 20229.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetGoCJava
Server operating systemsLinux
macOS
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes infosupports customizable data types and automatic typing
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 metadatanono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query languageyesSolr Parallel SQL Interface
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyesJava plugins
Triggersyes, event driven architecturenoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes
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.yesnonoyes
User concepts infoAccess controlRole-based access controltoken accessfine grained access rights according to SQL-standardyes

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More resources
GigaSpacesHyprcubdIngresSolr
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