DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Atos Standard Common Repository vs. Oracle Coherence vs. Weaviate

System Properties Comparison Atos Standard Common Repository vs. Oracle Coherence vs. Weaviate

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWeaviate  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 networksOracles in-memory data grid solutionAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Key-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#131  Overall
#22  Key-value stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.oracle.com/­java/­coherencegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherenceweaviate.io/­developers/­weaviate
DeveloperAtos Convergence CreatorsOracleWeaviate B.V.
Initial release201620072019
Current release170314.1, August 20231.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsLinuxAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptionalyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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
Secondary indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsLDAPJCache
JPA
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonono
Triggersyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelyes
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 configurationEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationauthentification to access the cache via certificates or http basic authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Atos Standard Common RepositoryOracle CoherenceWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Atos Standard Common RepositoryOracle CoherenceWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

show all

Recent citations in the news

Microservices with Major New Coherence and Helidon Releases
9 August 2022, blogs.oracle.com

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, blogs.oracle.com

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, Microsoft

Oracle launches Oracle Banking Cloud Services - ThePaypers
8 February 2023, The Paypers

Goondu Q&A: Oracle WebLogic Server 12c
13 March 2012, Yahoo Singapore News

provided by Google News

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
8 February 2024, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

The 5 Best Vector Databases You Must Try in 2024
17 November 2023, KDnuggets

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21 April 2023, PR Newswire

How to choose your vector database?
26 June 2023, sicara.fr

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here