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DBMS > DuckDB vs. GeoMesa vs. IBM Cloudant vs. Spark SQL vs. Transbase

System Properties Comparison DuckDB vs. GeoMesa vs. IBM Cloudant vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Database as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSSpatial DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteduckdb.orgwww.geomesa.orgwww.ibm.com/­products/­cloudantspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationduckdb.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCCRi and othersIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationTransaction Software GmbH
Initial release20182014201020141987
Current release1.0.0, June 20245.0.0, May 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaErlangScalaC and C++
Server operating systemsserver-lesshostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possiblenoyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoOptimistic lockingyesyes
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.yesdepending on storage layernonono
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard

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DuckDBGeoMesaIBM CloudantSpark SQLTransbase
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