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DBMS > atoti vs. InterSystems Caché vs. Milvus vs. OushuDB

System Properties Comparison atoti vs. InterSystems Caché vs. Milvus vs. OushuDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMilvus  Xexclude from comparisonOushuDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A multi-model DBMS and application serverA DBMS designed for efficient storage of vector data and vector similarity searchesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelObject oriented DBMSKey-value store
Object oriented DBMS
Relational DBMS
Vector DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websiteatoti.iowww.intersystems.com/­products/­cachemilvus.iowww.oushu.com/­product/­oushuDB
Technical documentationdocs.atoti.iodocs.intersystems.commilvus.io/­docs/­overview.mdwww.oushu.com/­documentation
DeveloperActiveViamInterSystemsOushu
Initial release19972019
Current release2018.1.4, May 20202.3.4, January 20244.0.1, August 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0commercial
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 systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemedepending on used data modelyes
Typing infopredefined data types such as float or dateyesVector, 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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoFull-featured ANSI SQL support
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Server-side scripts infoStored proceduresPythonyesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesRole based access control and fine grained access rightsKerberos, SSL and role based access
More information provided by the system vendor
atotiInterSystems CachéMilvusOushuDB
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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atotiInterSystems CachéMilvusOushuDB
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