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DBMS > AllegroGraph vs. Apache Doris vs. HarperDB vs. Infobright vs. Milvus

System Properties Comparison AllegroGraph vs. Apache Doris vs. HarperDB vs. Infobright vs. Milvus

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Doris  Xexclude from comparisonHarperDB  Xexclude from comparisonInfobright  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn MPP-based analytics DBMS embracing the MySQL protocolUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA 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 storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteallegrograph.comdoris.apache.org
github.com/­apache/­doris
www.harperdb.ioignitetech.com/­softwarelibrary/­infobrightdbmilvus.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­apache/­doris/­wikidocs.harperdb.io/­docsmilvus.io/­docs/­overview.md
DeveloperFranz Inc.Apache Software Foundation, originally contributed from BaiduHarperDBIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release20042017201720052019
Current release8.0, December 20231.2.2, February 20233.1, August 20212.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercial infofree community edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache Version 2.0
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 languageJavaNode.jsCC++, Go
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Linux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes infoRDF schemasyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesVector, 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 possiblenononono
Secondary indexesyesyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like data manipulation statementsyesno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
MySQL client
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsCustom Functions infosince release 3.1nono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole based access control and fine grained access rights
More information provided by the system vendor
AllegroGraphApache DorisHarperDBInfobrightMilvus
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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