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DBMS > Dragonfly vs. HarperDB vs. Hypertable vs. Newts

System Properties Comparison Dragonfly vs. HarperDB vs. Hypertable vs. Newts

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonNewts  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and 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 instanceUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An open source BigTable implementation based on distributed file systems such as HadoopTime Series DBMS based on Cassandra
Primary database modelKey-value storeDocument storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.harperdb.ioopennms.github.io/­newts
Technical documentationwww.dragonflydb.io/­docsdocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperDragonflyDB team and community contributorsHarperDBHypertable Inc.OpenNMS Group
Initial release2023201720092014
Current release1.0, March 20233.1, August 20210.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC++Java
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemescheme-freedynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes infoJSON data typesnoyes
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 indexesnoyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoSQL-like data manipulation statementsnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
HTTP REST
Java 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
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresLuaCustom Functions infosince release 3.1nono
Triggerspublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedselectable replication factor on file system levelselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPassword-based authenticationAccess rights for users and rolesnono

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More resources
DragonflyHarperDBHypertableNewts
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