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DBMS > GigaSpaces vs. IBM Db2 Event Store vs. PouchDB vs. Sphinx

System Properties Comparison GigaSpaces vs. IBM Db2 Event Store vs. PouchDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed Event Store optimized for Internet of Things use casesJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Event Store
Time Series DBMS
Document storeSearch engine
Secondary database modelsGraph DBMS
Search engine
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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2-event-storepouchdb.comsphinxsearch.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2-event-storepouchdb.com/­guidessphinxsearch.com/­docs
DeveloperGigaspaces TechnologiesIBMApache Software FoundationSphinx Technologies Inc.
Initial release2000201720122001
Current release15.5, September 20202.07.1.1, June 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition availableOpen SourceOpen Source infoGPL version 2, commercial licence 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++, .NetC and C++JavaScriptC++
Server operating systemsLinux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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
Secondary indexesyesnoyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-99 for query and DML statementsyes infothrough the embedded Spark runtimenoSQL-like query language (SphinxQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptno
Triggersyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Active-active shard replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.
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-standardnono

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More resources
GigaSpacesIBM Db2 Event StorePouchDBSphinx
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