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DBMS > Fujitsu Enterprise Postgres vs. HarperDB vs. Manticore Search vs. Qdrant

System Properties Comparison Fujitsu Enterprise Postgres vs. HarperDB vs. Manticore Search vs. Qdrant

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonManticore Search  Xexclude from comparisonQdrant  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Multi-storage database for search, including full-text search.A high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSDocument storeSearch engineVector DBMS
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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.postgresql.fastware.comwww.harperdb.iomanticoresearch.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsmanual.manticoresearch.comqdrant.tech/­documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBManticore SoftwareQdrant
Initial release201720172021
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, August 20216.0, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoGPL version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.jsC++Rust
Server operating systemsLinux
Windows
Linux
OS X
FreeBSD
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeyesdynamic schemaFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanNumbers, Strings, Geo, Boolean
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.noCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1user defined functions
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedSynchronous replication based on Galera libraryCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoThe original contents of fields are not stored in the Manticore index.yes
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-standardAccess rights for users and rolesnoKey-based authentication
More information provided by the system vendor
Fujitsu Enterprise PostgresHarperDBManticore SearchQdrant
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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Fujitsu Enterprise PostgresHarperDBManticore SearchQdrant
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