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DBMS > Dragonfly vs. RavenDB vs. Sphinx vs. Transbase

System Properties Comparison Dragonfly vs. RavenDB vs. Sphinx vs. Transbase

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonRavenDB  Xexclude from comparisonSphinx  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen source search engine for searching in data from different sources, e.g. relational databasesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeDocument storeSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
ravendb.netsphinxsearch.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.dragonflydb.io/­docsravendb.net/­docssphinxsearch.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDragonflyDB team and community contributorsHibernating RhinosSphinx Technologies Inc.Transaction Software GmbH
Initial release2023201020011987
Current release1.0, March 20235.4, July 20223.5.1, February 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoAGPL version 3, commercial license availableOpen Source infoGPL version 2, commercial licence availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++C and C++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnonoyes
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
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresLuayesnoyes
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACID, Cluster-wide transaction availablenoyes
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlPassword-based authenticationAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard

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More resources
DragonflyRavenDBSphinxTransbase
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