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DBMS > Fujitsu Enterprise Postgres vs. GeoMesa vs. Milvus vs. Netezza vs. WakandaDB

System Properties Comparison Fujitsu Enterprise Postgres vs. GeoMesa vs. Milvus vs. Netezza vs. WakandaDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonWakandaDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystemsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSSpatial DBMSVector DBMSRelational DBMSObject oriented 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
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.postgresql.fastware.comwww.geomesa.orgmilvus.iowww.ibm.com/­products/­netezzawakanda.github.io
Technical documentationwww.postgresql.fastware.com/­product-manualswww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCCRi and othersIBMWakanda SAS
Initial release2014201920002012
Current releaseFujitsu Enterprise Postgres 14, January 20224.0.5, February 20242.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageCScalaC++, GoC++, JavaScript
Server operating systemsLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in applianceLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyesyes
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 SQLyesnonoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnonoyesyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashdepending on storage layerShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsUsers with fine-grained authorization conceptyes
More information provided by the system vendor
Fujitsu Enterprise PostgresGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBMWakandaDB
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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More resources
Fujitsu Enterprise PostgresGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBMWakandaDB
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