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DBMS > GeoMesa vs. IBM Cloudant vs. LevelDB vs. Spark SQL

System Properties Comparison GeoMesa vs. IBM Cloudant vs. LevelDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonLevelDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Database as a Service offering based on Apache CouchDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSpatial DBMSDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.geomesa.orgwww.ibm.com/­products/­cloudantgithub.com/­google/­leveldbspark.apache.org/­sql
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.ibm.com/­docs/­Cloudantgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCCRi and othersIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleApache Software Foundation
Initial release2014201020112014
Current release5.0.0, May 20241.23, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaErlangC++Scala
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
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 storageAccess rights for users can be defined per databasenono

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More resources
GeoMesaIBM CloudantLevelDBSpark SQL
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