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DBMS > AllegroGraph vs. Altibase vs. Bangdb vs. Milvus

System Properties Comparison AllegroGraph vs. Altibase vs. Bangdb vs. Milvus

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAltibase  Xexclude from comparisonBangdb  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn enterprise grade, high-performance RDBMSConverged and high performance database for device data, events, time series, document and graphA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websiteallegrograph.comaltibase.combangdb.commilvus.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.bangdb.commilvus.io/­docs/­overview.md
DeveloperFranz Inc.AltibaseSachin Sinha, BangDB
Initial release2004199920122019
Current release8.0, December 2023v7.3, 2023, August 2023BangDB 2.0, October 20212.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoOpen source edition discontinued with March 2023Open Source infoBSD 3Open Source infoApache Version 2.0
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 languageC++C, C++C++, Go
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsVector, Numeric and String
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 possiblenonono
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL-92SQL like support with command line toolno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
Proprietary protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
C
C#
C++
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispstored procedures and stored functionsnono
Triggersyesyesyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyTunable consistency, set CAP knob accordinglyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, run db with in-memory only modeyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardyes (enterprise version only)Role based access control and fine grained access rights
More information provided by the system vendor
AllegroGraphAltibaseBangdbMilvus
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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