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DBMS > Drizzle vs. FeatureBase vs. GigaSpaces vs. PouchDB vs. StarRocks

System Properties Comparison Drizzle vs. FeatureBase vs. GigaSpaces vs. PouchDB vs. StarRocks

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFeatureBase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonStarRocks  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Real-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 CouchDBAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational 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
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.featurebase.comwww.gigaspaces.compouchdb.comwww.starrocks.io
Technical documentationdocs.featurebase.comdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guidesdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDrizzle project, originally started by Brian AkerMolecula and Pilosa Open Source ContributorsGigaspaces TechnologiesApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release20082017200020122020
Current release7.2.4, September 20122022, May 202215.5, September 20207.1.1, June 20192.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava, C++, .NetJavaScriptC++, Java
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL queriesSQL-99 for query and DML statementsnoyes
APIs and other access methodsJDBCgRPC
JDBC
Kafka Connector
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
MySQL protocol
Supported programming languagesC
C++
Java
PHP
Java
Python
.Net
C++
Java
Python
Scala
JavaScriptJava
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptuser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, 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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlnoRole based access control and fine grained access rights

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More resources
DrizzleFeatureBaseGigaSpacesPouchDBStarRocks
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