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DBMS > Atos Standard Common Repository vs. Milvus vs. PieCloudDB vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. Milvus vs. PieCloudDB vs. Rockset

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMilvus  Xexclude from comparisonPieCloudDB  Xexclude from comparisonRockset  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA DBMS designed for efficient storage of vector data and vector similarity searchesA cloud-native analytic database platform with new technologoy for elastic MPPA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Vector DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymilvus.iowww.openpie.comrockset.com
Technical documentationmilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperAtos Convergence CreatorsOpenPieRockset
Initial release201620192019
Current release17032.4.4, May 20242.1, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
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++, GoC++
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedhosted
Data schemeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateoptionalVector, Numeric and Stringyesdynamic 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.yesnono infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesRead-only SQL queries, including JOINs
APIs and other access methodsLDAPRESTful HTTP APICLI Client
JDBC
ODBC
HTTP REST
Supported programming languagesAll languages with LDAP bindingsC++
Go
Java
JavaScript (Node.js)
Python
Java
PL/SQL
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
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 controlLDAP bind authenticationRole based access control and fine grained access rightsUser Roles and pluggable authentication with full SQL StandardAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Atos Standard Common RepositoryMilvusPieCloudDBRockset
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» 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
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Atos Standard Common RepositoryMilvusPieCloudDBRockset
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