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DBMS > Fujitsu Enterprise Postgres vs. Linter vs. Milvus vs. Realm

System Properties Comparison Fujitsu Enterprise Postgres vs. Linter vs. Milvus vs. Realm

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLinter  Xexclude from comparisonMilvus  Xexclude from comparisonRealm  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.RDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.postgresql.fastware.comlinter.rumilvus.iorealm.io
Technical documentationwww.postgresql.fastware.com/­product-manualsmilvus.io/­docs/­overview.mdrealm.io/­docs
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software Technologyrelex.ruRealm, acquired by MongoDB in May 2019
Initial release199020192014
Current releaseFujitsu Enterprise Postgres 14, January 20222.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageCC and C++C++, Go
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLnono inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes
More information provided by the system vendor
Fujitsu Enterprise PostgresLinterMilvusRealm
Specific characteristics100% compatible with community PostgreSQL
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsCore based licensing
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Fujitsu Enterprise PostgresLinterMilvusRealm
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