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DBMS > Atos Standard Common Repository vs. Coveo vs. CrateDB

System Properties Comparison Atos Standard Common Repository vs. Coveo vs. CrateDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCoveo  Xexclude from comparisonCrateDB  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 networksAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed Database based on Lucene
Primary database modelDocument store
Key-value store
Search engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.coveo.comcratedb.com
Technical documentationdocs.coveo.comcratedb.com/­docs
DeveloperAtos Convergence CreatorsCoveoCrate
Initial release201620122013
Current release1703
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJava
Server operating systemsLinuxhostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
Data schemeSchema and schema-less with LDAP viewshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonoyes, but no triggers and constraints, and PostgreSQL compatibility
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Server-side scripts infoStored proceduresnonouser defined functions (Javascript)
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesConfigurable replication on table/partition-level
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 configurationImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesno infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlLDAP bind authenticationgranular access controls, API key management, content filtersrights management via user accounts
More information provided by the system vendor
Atos Standard Common RepositoryCoveoCrateDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Atos Standard Common RepositoryCoveoCrateDB
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