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DBMS > ArcadeDB vs. HugeGraph vs. Milvus vs. Riak KV

System Properties Comparison ArcadeDB vs. HugeGraph vs. Milvus vs. Riak KV

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, fault tolerant key-value store
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Graph DBMSVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitearcadedb.comgithub.com/­hugegraph
hugegraph.apache.org
milvus.io
Technical documentationdocs.arcadedb.comhugegraph.apache.org/­docsmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperArcade DataBaiduOpenSource, formerly Basho Technologies
Initial release2021201820192009
Current releaseSeptember 20210.92.3.4, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
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 languageJavaJavaC++, GoErlang
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringno
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexnorestricted
SQL infoSupport of SQLSQL-like query language, no joinsnonono
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesJavaGroovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes infoedges in graphnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesyes
User concepts infoAccess controlUsers, roles and permissionsRole based access control and fine grained access rightsyes, using Riak Security
More information provided by the system vendor
ArcadeDBHugeGraphMilvusRiak KV
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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ArcadeDBHugeGraphMilvusRiak KV
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