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DBMS > Dragonfly vs. Drizzle vs. GigaSpaces vs. PouchDB vs. Splice Machine

System Properties Comparison Dragonfly vs. Drizzle vs. GigaSpaces vs. PouchDB vs. Splice Machine

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  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.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMS
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gigaspaces.compouchdb.comsplicemachine.com
Technical documentationwww.dragonflydb.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guidessplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerGigaspaces TechnologiesApache Software FoundationSplice Machine
Initial release20232008200020122014
Current release1.0, March 20237.2.4, September 201215.5, September 20207.1.1, June 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, C++, .NetJavaScriptJava
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemescheme-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesnoyes
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 metadatano
Secondary indexesnoyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-99 for query and DML statementsnoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLuanoyesView functions in JavaScriptyes infoJava
Triggerspublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.yes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesyesyes
User concepts infoAccess controlPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DragonflyDrizzleGigaSpacesPouchDBSplice Machine
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