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DBMS > GeoMesa vs. Spark SQL vs. Transbase vs. UniData,UniVerse vs. VoltDB

System Properties Comparison GeoMesa vs. Spark SQL vs. Transbase vs. UniData,UniVerse vs. VoltDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSMultiValue database and application server with SQL mapping layer and meta database capabilitiesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelSpatial DBMSRelational DBMSRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.geomesa.orgspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.voltdb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatadocs.voltdb.com
DeveloperCCRi and othersApache Software FoundationTransaction Software GmbHRocket SoftwareVoltDB Inc.
Initial release20142014198719852010
Current release5.0.0, May 20243.5.0 ( 2.13), September 2023Transbase 8.3, 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infofree development licensecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaScalaC and C++CJava, C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X infofor development
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Basic infoU2 Basic
C
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoyesyesJava
Triggersnonoyesyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID infoconfigurableACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
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 storagenofine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system basedUsers and roles with access to stored procedures

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More resources
GeoMesaSpark SQLTransbaseUniData,UniVerseVoltDB
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