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DBMS > GeoMesa vs. Microsoft SQL Server vs. Vertica

System Properties Comparison GeoMesa vs. Microsoft SQL Server vs. Vertica

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#199  Overall
#3  Spatial DBMS
Score970.61
Rank#3  Overall
#3  Relational DBMS
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websitewww.geomesa.orgwww.microsoft.com/­en-us/­sql-serverwww.vertica.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­en-US/­sql/­sql-serverwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperCCRi and othersMicrosoftVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201419892005
Current release3.1.1, January 2021SQL Server 2019, November 2019Vertica 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 inforestricted free version is availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono 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++
Server operating systemsLinux
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes, but depending on the SQL-Server EditionMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 storagefine 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
GeoMesaMicrosoft SQL ServerVertica 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GeoMesaMicrosoft SQL ServerVertica infoVertica Analytics Platform
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