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DBMS > GigaSpaces vs. Oracle Rdb vs. Solr vs. YDB

System Properties Comparison GigaSpaces vs. Oracle Rdb vs. Solr vs. YDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA widely used distributed, scalable search engine based on Apache LuceneA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engineDocument store
Relational DBMS
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
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.htmlydb.tech/­en/­docs
DeveloperGigaspaces TechnologiesOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationYandex
Initial release2000198420062019
Current release15.5, September 20207.4.1.1, 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava
Server operating systemsLinux
macOS
Solaris
Windows
HP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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 metadatanoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesSolr Parallel SQL InterfaceSQL-like query language (YQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersyes, event driven architectureyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesno
User concepts infoAccess controlRole-based access controlyesAccess rights defined for Yandex Cloud users

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More resources
GigaSpacesOracle RdbSolrYDB
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