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DBMS > GigaSpaces vs. IBM Db2 warehouse vs. Manticore Search vs. Splice Machine

System Properties Comparison GigaSpaces vs. IBM Db2 warehouse vs. Manticore Search vs. Splice Machine

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud-based data warehousing serviceMulti-storage database for search, including full-text search.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS infousing the Manticore Columnar Library
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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2/­warehousemanticoresearch.comsplicemachine.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlmanual.manticoresearch.comsplicemachine.com/­how-it-works
DeveloperGigaspaces TechnologiesIBMManticore SoftwareSplice Machine
Initial release2000201420172014
Current release15.5, September 20206.0, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++Java
Server operating systemsLinux
macOS
Solaris
Windows
hostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 metadatano infoImport/export of XML data possibleCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesSQL-like query languageyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
OLE DB
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLuser defined functionsyes infoJava
Triggersyes, event driven architectureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesSynchronous replication based on Galera libraryMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
GigaSpacesIBM Db2 warehouse infoformerly named IBM dashDBManticore SearchSplice Machine
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