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DBMS > GeoMesa vs. Netezza vs. PieCloudDB vs. Stardog

System Properties Comparison GeoMesa vs. Netezza vs. PieCloudDB vs. Stardog

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPieCloudDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Data warehouse and analytics appliance part of IBM PureSystemsA cloud-native analytic database platform with new technologoy for elastic MPPEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelSpatial DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.geomesa.orgwww.ibm.com/­products/­netezzawww.openpie.comwww.stardog.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.stardog.com
DeveloperCCRi and othersIBMOpenPieStardog-Union
Initial release201420002010
Current release5.0.0, May 20242.1, January 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinux infoincluded in appliancehostedLinux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
PL/SQL
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers with fine-grained authorization conceptUser Roles and pluggable authentication with full SQL StandardAccess rights for users and roles
More information provided by the system vendor
GeoMesaNetezza infoAlso called PureData System for Analytics by IBMPieCloudDBStardog
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
GeoMesaNetezza infoAlso called PureData System for Analytics by IBMPieCloudDBStardog
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
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provided by Google News



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