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DBMS > Apache Phoenix vs. InterSystems IRIS vs. Qdrant

System Properties Comparison Apache Phoenix vs. InterSystems IRIS vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitephoenix.apache.orgwww.intersystems.com/­products/­intersystems-irisgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationphoenix.apache.orgdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsqdrant.tech/­documentation
DeveloperApache Software FoundationInterSystemsQdrant
Initial release201420182021
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemsLinux
Unix
Windows
AIX
Linux
macOS
Ubuntu
Windows
Docker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesdepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, 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.noyesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationCollection-level 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 ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesKey-based authentication
More information provided by the system vendor
Apache PhoenixInterSystems IRISQdrant
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Apache PhoenixInterSystems IRISQdrant
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Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
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18 April 2019, eWeek

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2 June 2016, AWS Blog

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