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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Milvus vs. Newts

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Milvus vs. Newts

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  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 networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on Cassandra
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Vector DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.commilvus.ioopennms.github.io/­newts
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlmilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wiki
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesOpenNMS Group
Initial release2016200020192014
Current release170315.5, September 20202.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
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 languageJavaJava, C++, .NetC++, GoJava
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesVector, 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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST
Java API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlRole based access control and fine grained access rightsno
More information provided by the system vendor
Atos Standard Common RepositoryGigaSpacesMilvusNewts
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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Atos Standard Common RepositoryGigaSpacesMilvusNewts
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