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DBMS > Coveo vs. Fujitsu Enterprise Postgres vs. PouchDB vs. searchxml

System Properties Comparison Coveo vs. Fujitsu Enterprise Postgres vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.JavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelSearch engineRelational DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.coveo.comwww.postgresql.fastware.compouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.coveo.comwww.postgresql.fastware.com/­product-manualspouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperCoveoPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software Foundationinformationpartners gmbh
Initial release201220122015
Current releaseFujitsu Enterprise Postgres 14, January 20227.1.1, June 20191.0
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaScriptC++
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes infoon the application server
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and by hashSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
CoveoFujitsu Enterprise PostgresPouchDBsearchxml
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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CoveoFujitsu Enterprise PostgresPouchDBsearchxml
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