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DBMS > FeatureBase vs. GigaSpaces vs. PouchDB vs. Sequoiadb

System Properties Comparison FeatureBase vs. GigaSpaces vs. PouchDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeDocument store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.featurebase.comwww.gigaspaces.compouchdb.comwww.sequoiadb.com
Technical documentationdocs.featurebase.comdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guideswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMolecula and Pilosa Open Source ContributorsGigaspaces TechnologiesApache Software FoundationSequoiadb Ltd.
Initial release2017200020122013
Current release2022, May 202215.5, September 20207.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaScriptC++
Server operating systemsLinux
macOS
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infooid, date, timestamp, binary, regex
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLSQL queriesSQL-99 for query and DML statementsnoSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSON
Supported programming languagesJava
Python
.Net
C++
Java
Python
Scala
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptJavaScript
Triggersnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlnosimple password-based access control

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More resources
FeatureBaseGigaSpacesPouchDBSequoiadb
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