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DBMS > Apache Phoenix vs. Dragonfly vs. Geode vs. Transbase

System Properties Comparison Apache Phoenix vs. Dragonfly vs. Geode vs. Transbase

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDragonfly  Xexclude from comparisonGeode  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitephoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geode.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgwww.dragonflydb.io/­docsgeode.apache.org/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationDragonflyDB team and community contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Transaction Software GmbH
Initial release2014202320021987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 20231.1, February 2017Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and C++
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, 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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnoSQL-like query language (OQL)yes
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
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
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functionsyes
Triggersnopublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsyes, on a single nodeyes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Apache PhoenixDragonflyGeodeTransbase
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