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DBMS > Fujitsu Enterprise Postgres vs. LevelDB vs. Linter vs. Weaviate

System Properties Comparison Fujitsu Enterprise Postgres vs. LevelDB vs. Linter vs. Weaviate

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLevelDB  Xexclude from comparisonLinter  Xexclude from comparisonWeaviate  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDBMS for high security requirementsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.postgresql.fastware.comgithub.com/­google/­leveldblinter.rugithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdweaviate.io/­developers/­weaviate
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGooglerelex.ruWeaviate B.V.
Initial release201119902019
Current releaseFujitsu Enterprise Postgres 14, January 20221.23, February 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infocommercial license available with Weaviate Enterprise
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.
Implementation languageCC++C and C++Go
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
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)
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Fujitsu Enterprise PostgresLevelDBLinterWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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Fujitsu Enterprise PostgresLevelDBLinterWeaviate
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