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DBMS > eXtremeDB vs. GeoMesa vs. Milvus vs. Netezza

System Properties Comparison eXtremeDB vs. GeoMesa vs. Milvus vs. Netezza

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGeoMesa 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 PureSystems
Primary database modelRelational DBMS
Time Series DBMS
Spatial DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.mcobject.comwww.geomesa.orgmilvus.iowww.ibm.com/­products/­netezza
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.md
DeveloperMcObjectCCRi and othersIBM
Initial release2001201420192000
Current release8.2, 20215.0.0, May 20242.4.4, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
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 languageC and C++ScalaC++, Go
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in appliance
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnonoyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnonoyes
Triggersyes infoby defining eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
depending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesdepending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
eXtremeDBGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Milvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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More resources
eXtremeDBGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBM
DB-Engines blog posts

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