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DBMS > GeoMesa vs. HBase vs. jBASE vs. Microsoft SQL Server vs. Transwarp StellarDB

System Properties Comparison GeoMesa vs. HBase vs. jBASE vs. Microsoft SQL Server vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHBase  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Wide-column store based on Apache Hadoop and on concepts of BigTableA robust multi-value DBMS comprising development tools and middlewareMicrosofts flagship relational DBMSA distributed graph DBMS built for enterprise-level graph applications
Primary database modelSpatial DBMSWide column storeMultivalue DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.geomesa.orghbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­sql-serverwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhbase.apache.org/­book.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-US/­sql/­sql-server
DeveloperCCRi and othersApache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software (formerly Zumasys)MicrosoftTranswarp
Initial release2014200819911989
Current release5.0.0, May 20242.3.4, January 20215.7SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache version 2commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageScalaJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
Linux
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROoptionalyes
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.nonoyesyes
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
OpenCypher
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic
Jabbascript
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavayesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
yesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID
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 layeryesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyes

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More resources
GeoMesaHBasejBASEMicrosoft SQL ServerTranswarp StellarDB
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