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DBMS > Atos Standard Common Repository vs. EsgynDB vs. etcd vs. Milvus vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. etcd vs. Milvus vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  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 networksEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeA DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
milvus.iogithub.com/­sitewhere/­sitewhere
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
milvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsEsgynSiteWhere
Initial release2016201520192010
Current release17033.4, August 20192.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageJavaC++, JavaGoC++, GoJava
Server operating systemsLinuxLinuxFreeBSD
Linux
Windows infoexperimental
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateoptionalyesnoVector, 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.yesnononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
RESTful HTTP APIHTTP REST
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersyesnoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnoRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
Atos Standard Common RepositoryEsgynDBetcdMilvusSiteWhere
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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More resources
Atos Standard Common RepositoryEsgynDBetcdMilvusSiteWhere
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