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DBMS > AllegroGraph vs. Hawkular Metrics vs. Milvus vs. OpenTenBase

System Properties Comparison AllegroGraph vs. Hawkular Metrics vs. Milvus vs. OpenTenBase

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMilvus  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A DBMS designed for efficient storage of vector data and vector similarity searchesAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Websiteallegrograph.comwww.hawkular.orgmilvus.iogithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemilvus.io/­docs/­overview.mddocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperFranz Inc.Community supported by Red HatOpenAtom Foundation, previously Tencent
Initial release200420142019
Current release8.0, December 20232.4.4, May 20242.5, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
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++, Go
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.no infobulk load of XML files possiblenono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languagenonoyes
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP RESTRESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphHawkular MetricsMilvusOpenTenBase
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Highly 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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