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DBMS > Dragonfly vs. InterSystems Caché vs. Postgres-XL vs. Sphinx vs. VelocityDB

System Properties Comparison Dragonfly vs. InterSystems Caché vs. Postgres-XL vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 instanceA multi-model DBMS and application serverBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.intersystems.com/­products/­cachewww.postgres-xl.orgsphinxsearch.comvelocitydb.com
Technical documentationwww.dragonflydb.io/­docsdocs.intersystems.comwww.postgres-xl.org/­documentationsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperDragonflyDB team and community contributorsInterSystemsSphinx Technologies Inc.VelocityDB Inc
Initial release202319972014 infosince 2012, originally named StormDB20012011
Current release1.0, March 20232018.1.4, May 202010 R1, October 20183.5.1, February 20237.x
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C#
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemescheme-freedepending on used data modelyesyesyes
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.noyesyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol.Net
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresLuayesuser defined functionsnono
Triggerspublish/subscribe channels provide some trigger functionalityyesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnoBased on Windows Authentication

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More resources
DragonflyInterSystems CachéPostgres-XLSphinxVelocityDB
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