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DBMS > Apache Phoenix vs. Dragonfly vs. EDB Postgres

System Properties Comparison Apache Phoenix vs. Dragonfly vs. EDB Postgres

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDragonfly  Xexclude from comparisonEDB Postgres  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 instanceThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score1.90
Rank#135  Overall
#63  Relational DBMS
Websitephoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.enterprisedb.com
Technical documentationphoenix.apache.orgwww.dragonflydb.io/­docswww.enterprisedb.com/­docs
DeveloperApache Software FoundationDragonflyDB team and community contributorsEnterpriseDB
Initial release201420232005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 202314, December 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercial infoBSD for PostgreSQL-components
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux
Unix
Windows
LinuxLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesscheme-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensions
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnopublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or range
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationfine grained access rights according to SQL-standard

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More resources
Apache PhoenixDragonflyEDB Postgres
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Hortonworks Starts Hadoop Summit with Data Platform Update -- ADTmag
28 June 2016, ADT Magazine

provided by Google News

DragonflyDB Announces $21m in New Funding and General Availability
21 March 2023, businesswire.com

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21 March 2023, SiliconANGLE News

Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store
20 March 2023, Phoronix

Intel Linux Kernel Optimizations Show Huge Benefit For High Core Count Servers
29 March 2023, Phoronix

New Kubernetes Operator for Dragonfly In-Memory Datastore Now Available for Simplified Operations and Increased ...
18 April 2023, businesswire.com

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EDB unveils EDB Postgres AI
23 May 2024, InfoWorld

Enterprise DB begins rolling AI features into PostgreSQL
23 May 2024, SiliconANGLE News

EDB Postgres AI is a new platform for analytics workloads
23 May 2024, Techzine Europe

Nutanix partners with EDB to fit database service for AI – Blocks and Files
21 May 2024, Blocks & Files

EDB Celebrates 20 Years with Launch of its Innovative Postgres AI Platform
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