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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDragonfly  Xexclude from comparisonInfinityDB  Xexclude from comparisonQdrant  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 instanceA Java embedded Key-Value Store which extends the Java Map interfaceA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSKey-value storeKey-value storeVector 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitephoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
boilerbay.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationphoenix.apache.orgwww.dragonflydb.io/­docsboilerbay.com/­infinitydb/­manualqdrant.tech/­documentation
DeveloperApache Software FoundationDragonflyDB team and community contributorsBoiler Bay Inc.Qdrant
Initial release2014202320022021
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 20234.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaRust
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesscheme-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumbers, Strings, Geo, Boolean
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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
Java.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsLuano
Triggersnopublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneCollection-level 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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono 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 scriptsACID 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.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationnoKey-based authentication

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More resources
Apache PhoenixDragonflyInfinityDBQdrant
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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, azure.microsoft.com

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28 June 2016, ADT Magazine

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20 March 2023, Phoronix

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29 March 2023, Phoronix

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18 April 2023, businesswire.com

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