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DBMS > Dragonfly vs. HBase vs. HEAVY.AI vs. NuoDB vs. Sphinx

System Properties Comparison Dragonfly vs. HBase vs. HEAVY.AI vs. NuoDB vs. Sphinx

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNuoDB  Xexclude from comparisonSphinx  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 instanceWide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.3ds.com/­nuodb-distributed-sql-databasesphinxsearch.com
Technical documentationwww.dragonflydb.io/­docshbase.apache.org/­book.htmldocs.heavy.aidoc.nuodb.comsphinxsearch.com/­docs
DeveloperDragonflyDB team and community contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.Dassault Systèmes infooriginally NuoDB, Inc.Sphinx Technologies Inc.
Initial release20232008201620132001
Current release1.0, March 20232.3.4, January 20215.10, January 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache version 2Open Source infoApache Version 2; enterprise edition availablecommercial infolimited edition freeOpen Source infoGPL version 2, commercial licence available
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++JavaC++ and CUDAC++C++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemescheme-freeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysoptions to bring your own types, AVROyesyesno
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.nononono
Secondary indexesnononoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesyesSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Proprietary protocol
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#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresLuayes infoCoprocessors in JavanoJava, SQLno
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robindata is dynamically stored/cached on the nodes where it is read/writtenSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual 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 scriptsSingle row ACID (across millions of columns)noACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTemporary table
User concepts infoAccess controlPassword-based authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersno

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More resources
DragonflyHBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NuoDBSphinx
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