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DBMS > ArcadeDB vs. Badger vs. Milvus vs. Rockset

System Properties Comparison ArcadeDB vs. Badger vs. Milvus vs. Rockset

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBadger  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value storeVector DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitearcadedb.comgithub.com/­dgraph-io/­badgermilvus.iorockset.com
Technical documentationdocs.arcadedb.comgodoc.org/­github.com/­dgraph-io/­badgermilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperArcade DataDGraph LabsRockset
Initial release2021201720192019
Current releaseSeptember 20212.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 languageJavaGoC++, GoC++
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoVector, Numeric and Stringdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLSQL-like query language, no joinsnonoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
RESTful HTTP APIHTTP REST
Supported programming languagesJavaGoC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.noyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
ArcadeDBBadgerMilvusRockset
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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ArcadeDBBadgerMilvusRockset
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