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DBMS > Brytlyt vs. GeoMesa vs. Milvus vs. Netezza vs. WakandaDB

System Properties Comparison Brytlyt vs. GeoMesa vs. Milvus vs. Netezza vs. WakandaDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGeoMesa 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  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
Websitebrytlyt.iowww.geomesa.orgmilvus.iowww.ibm.com/­products/­netezzawakanda.github.io
Technical documentationdocs.brytlyt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperBrytlytCCRi and othersIBMWakanda SAS
Initial release20162014201920002012
Current release5.0, August 20234.0.5, 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 languageC, C++ and CUDAScalaC++, GoC++, JavaScript
Server operating systemsLinux
OS X
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.yes infospecific XML-type available, but no XML query functionality.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
Perl
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoyesyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesdepending 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 datayesyesyesyesyes
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
BrytlytGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBMWakandaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: 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 metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
BrytlytGeoMesaMilvusNetezza infoAlso called PureData System for Analytics by IBMWakandaDB
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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