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DBMS > Dragonfly vs. HEAVY.AI vs. Splice Machine vs. SWC-DB

System Properties Comparison Dragonfly vs. HEAVY.AI vs. Splice Machine vs. SWC-DB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 instanceA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­heavyai/­heavydb
www.heavy.ai
splicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.dragonflydb.io/­docsdocs.heavy.aisplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsHEAVY.AI, Inc.Splice MachineAlex Kashirin
Initial release2023201620142020
Current release1.0, March 20235.10, January 20223.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDAJavaC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
Linux
Data schemescheme-freeyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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 indexesnonoyes
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
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
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Server-side scripts infoStored proceduresLuanoyes infoJavano
Triggerspublish/subscribe channels provide some trigger functionalitynoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
DragonflyHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Splice MachineSWC-DB infoSuper Wide Column Database
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