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DBMS > Fujitsu Enterprise Postgres vs. Manticore Search vs. PouchDB vs. TerarkDB

System Properties Comparison Fujitsu Enterprise Postgres vs. Manticore Search vs. PouchDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Multi-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSSearch engineDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.postgresql.fastware.commanticoresearch.compouchdb.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.postgresql.fastware.com/­product-manualsmanual.manticoresearch.compouchdb.com/­guidesbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyManticore SoftwareApache Software FoundationByteDance, originally Terark
Initial release201720122016
Current releaseFujitsu Enterprise Postgres 14, January 20226.0, February 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaScriptC++
Server operating systemsLinux
Windows
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannono
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.Can index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia viewsno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptC++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonono
More information provided by the system vendor
Fujitsu Enterprise PostgresManticore SearchPouchDBTerarkDB
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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More resources
Fujitsu Enterprise PostgresManticore SearchPouchDBTerarkDB
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