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DBMS > Apache Phoenix vs. Milvus vs. searchxml vs. Valentina Server vs. VelocityDB

System Properties Comparison Apache Phoenix vs. Milvus vs. searchxml vs. Valentina Server vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonValentina Server  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverObject-relational database and reports serverA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSVector DBMSNative XML DBMS
Search engine
Relational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitephoenix.apache.orgmilvus.iowww.searchxml.net/­category/­productswww.valentina-db.netvelocitydb.com
Technical documentationphoenix.apache.orgmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvelocitydb.com/­UserGuide
DeveloperApache Software Foundationinformationpartners gmbhParadigma SoftwareVelocityDB Inc
Initial release20142019201519992011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20241.05.7.57.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoC++C#
Server operating systemsLinux
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinux
OS X
Windows
Any that supports .NET
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsJDBCRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
ODBC.Net
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
.Net
Server-side scripts infoStored proceduresuser defined functionsnoyes infoon the application serveryesno
TriggersnononoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
Apache PhoenixMilvussearchxmlValentina ServerVelocityDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache PhoenixMilvussearchxmlValentina ServerVelocityDB
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