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DBMS > GeoMesa vs. Microsoft Access vs. Trafodion vs. Vertica

System Properties Comparison GeoMesa vs. Microsoft Access vs. Trafodion vs. Vertica

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrafodion  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Transactional SQL-on-Hadoop DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.geomesa.orgwww.microsoft.com/­en-us/­microsoft-365/­accesstrafodion.apache.orgwww.vertica.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldeveloper.microsoft.com/­en-us/­accesstrafodion.apache.org/­documentation.htmlvertica.com/­documentation
DeveloperCCRi and othersMicrosoftApache Software Foundation, originally developed by HPOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2014199220142005
Current release5.0.0, May 20241902 (16.0.11328.20222), March 20192.3.0, February 201912.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++, JavaC++
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinuxLinux
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJava Stored Proceduresyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyes, via HBaseMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia user defined functions and HBaseno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernono
User concepts infoAccess controlyes infodepending on the DBMS used for storageno infoa simple user-level security was built in till version Access 2003fine 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 AccessTrafodionVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
GeoMesaMicrosoft AccessTrafodionVertica infoOpenText™ Vertica™
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