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DBMS > GeoMesa vs. IBM Db2 vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Vertica

System Properties Comparison GeoMesa vs. IBM Db2 vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Vertica

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Common in IBM host environments, 2 different versions for host and Windows/LinuxMicrosofts flagship relational DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSpatial DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#189  Overall
#3  Spatial DBMS
Score167.18
Rank#7  Overall
#5  Relational DBMS
Score954.02
Rank#3  Overall
#3  Relational DBMS
Score5.53
Rank#70  Overall
#38  Relational DBMS
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitewww.geomesa.orgwww.ibm.com/­analytics/­db2www.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­sql-anywhere.htmlwww.vertica.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­support/­knowledgecenter/­SSEPGGdocs.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­sql-anywherewww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperCCRi and othersIBMMicrosoftSAP infoformerly SybaseVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20141983 infohost version198919922005
Current release3.1.1, January 202112.1, October 2016SQL Server 2019, November 201917, July 2015Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree version is availablecommercial inforestricted free version is availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.noyesyesyes
Secondary indexesyesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyesyesyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perlyes
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoonly with Windows/Unix/Linux Versiontables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infowith separate tools (MQ, InfoSphere)yes, but depending on the SQL-Server EditionSource-replica replication infoDatabase mirroringMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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 layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
GeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVertica infoVertica Analytics Platform
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