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DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Netezza vs. Oracle Rdb

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Netezza vs. Oracle Rdb

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelSpatial DBMSRelational DBMSVector DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCCRi and othersMicrosoftIBMOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20142016201920001984
Current release4.0.5, February 20242.3.4, January 20247.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageScalaC++C++, Go
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in applianceHP Open VMS
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoTransact SQLnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDyes, on a single node
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 controlyes infodepending on the DBMS used for storageyesRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusNetezza infoAlso called PureData System for Analytics by IBMOracle Rdb
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
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusNetezza infoAlso called PureData System for Analytics by IBMOracle Rdb
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