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DBMS > Dragonfly vs. GeoSpock vs. Sphinx vs. Splice Machine vs. Yanza

System Properties Comparison Dragonfly vs. GeoSpock vs. Sphinx vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeoSpock  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it 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 instanceSpatial and temporal data processing engine for extreme data scaleOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comsphinxsearch.comsplicemachine.comyanza.com
Technical documentationwww.dragonflydb.io/­docssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsGeoSpockSphinx Technologies Inc.Splice MachineYanza
Initial release2023200120142015
Current release1.0, March 20232.0, September 20193.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++Java
Server operating systemsLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemescheme-freeyesyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyesno
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.nonono
Secondary indexesnotemporal, categoricalyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (SphinxQL)yesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCProprietary protocolJDBC
Native Spark Datasource
ODBC
HTTP 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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresLuanonoyes infoJavano
Triggerspublish/subscribe channels provide some trigger functionalitynonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users can be defined per tablenoAccess rights for users, groups and roles according to SQL-standardno

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More resources
DragonflyGeoSpockSphinxSplice MachineYanza
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