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DBMS > GeoMesa vs. HEAVY.AI vs. IBM Db2 warehouse vs. MarkLogic

System Properties Comparison GeoMesa vs. HEAVY.AI vs. IBM Db2 warehouse vs. MarkLogic

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCloud-based data warehousing serviceOperational and transactional Enterprise NoSQL database
Primary database modelSpatial DBMSRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2/­warehousewww.marklogic.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aidocs.marklogic.com
DeveloperCCRi and othersHEAVY.AI, Inc.IBMMarkLogic Corp.
Initial release2014201620142001
Current release5.0.0, May 20245.10, January 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++ and CUDAC++
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesyesyesschema-free infoSchema can be enforced
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.nonono infoImport/export of XML data possibleyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesyesyes infoSQL92
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
OLE DB
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLyes infovia XQuery or JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infocan act as a resource manager in an XA/JTA transaction
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 layeryesyesyes, with Range Indexes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
GeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 warehouse infoformerly named IBM dashDBMarkLogic
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