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DBMS > Fujitsu Enterprise Postgres vs. JanusGraph vs. Prometheus vs. Weaviate

System Properties Comparison Fujitsu Enterprise Postgres vs. JanusGraph vs. Prometheus vs. Weaviate

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPrometheus  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-source Time Series DBMS and monitoring systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSGraph DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.postgresql.fastware.comjanusgraph.orgprometheus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.janusgraph.orgprometheus.io/­docsweaviate.io/­developers/­weaviate
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLinux Foundation; originally developed as Titan by AureliusWeaviate B.V.
Initial release201720152019
Current releaseFujitsu Enterprise Postgres 14, January 20220.6.3, February 20231.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaGoGo
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes 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.nono infoImport of XML data possibleno
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnonoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP/JSON APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
noneEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServernoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanPrometheusWeaviate
Specific characteristics100% compatible with community PostgreSQL
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsCore based licensing
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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Fujitsu Enterprise PostgresJanusGraph infosuccessor of TitanPrometheusWeaviate
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