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DBMS > GeoMesa vs. Greenplum vs. IBM Db2 Event Store vs. OrientDB vs. SAP HANA

System Properties Comparison GeoMesa vs. Greenplum vs. IBM Db2 Event Store vs. OrientDB vs. SAP HANA

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrientDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Distributed Event Store optimized for Internet of Things use casesMulti-model DBMS (Document, Graph, Key/Value)In-memory, column based data store. Available as appliance or cloud service
Primary database modelSpatial DBMSRelational DBMSEvent Store
Time Series DBMS
Document store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.geomesa.orggreenplum.orgwww.ibm.com/­products/­db2-event-storeorientdb.orgwww.sap.com/­products/­hana.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orgwww.ibm.com/­docs/­en/­db2-event-storewww.orientdb.com/­docs/­last/­index.htmlhelp.sap.com/­hana
DeveloperCCRi and othersPivotal Software Inc.IBMOrientDB LTD; CallidusCloud; SAPSAP
Initial release20142005201720102010
Current release5.0.0, May 20247.0.0, September 20232.03.2.29, March 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++Java
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java JDK (>= JDK 6)Appliance or cloud-service
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infosince Version 4.2nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeSQL-like query language, no joinsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyesJava, JavascriptSQLScript, R
TriggersnoyesnoHooksyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationActive-active shard replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableyes

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