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DBMS > Apache Phoenix vs. Dragonfly vs. Hypertable vs. InfinityDB

System Properties Comparison Apache Phoenix vs. Dragonfly vs. Hypertable vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDragonfly  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 instanceAn open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSKey-value storeWide column storeKey-value store
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
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
boilerbay.com
Technical documentationphoenix.apache.orgwww.dragonflydb.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationDragonflyDB team and community contributorsHypertable Inc.Boiler Bay Inc.
Initial release2014202320092002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 20230.9.8.11, March 20164.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Java
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesscheme-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 indexesyesnorestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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
C++
Java
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsLuanono
Triggersnopublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACID infoOptimistic locking for transactions; no isolation for bulk loads
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationnono

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More resources
Apache PhoenixDragonflyHypertableInfinityDB
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