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DBMS > Dragonfly vs. EsgynDB vs. eXtremeDB vs. Greenplum vs. TerarkDB

System Properties Comparison Dragonfly vs. EsgynDB vs. eXtremeDB vs. Greenplum vs. TerarkDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreenplum  Xexclude from comparisonTerarkDB  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 instanceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cnwww.mcobject.comgreenplum.orggithub.com/­bytedance/­terarkdb
Technical documentationwww.dragonflydb.io/­docswww.mcobject.com/­docs/­extremedb.htmdocs.greenplum.orgbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDragonflyDB team and community contributorsEsgynMcObjectPivotal Software Inc.ByteDance, originally Terark
Initial release20232015200120052016
Current release1.0, March 20238.2, 20217.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoApache 2.0commercial inforestricted open source version 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++C++, JavaC and C++C++
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemescheme-freeyesyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesno
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 infosupport of XML interfaces availableyes infosince Version 4.2no
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesyes infowith the option: eXtremeSQLyesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
C++ API
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
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
C
Java
Perl
Python
R
C++
Java
Server-side scripts infoStored proceduresLuaJava Stored Proceduresyesyesno
Triggerspublish/subscribe channels provide some trigger functionalitynoyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
DragonflyEsgynDBeXtremeDBGreenplumTerarkDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DragonflyEsgynDBeXtremeDBGreenplumTerarkDB
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