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DBMS > GeoMesa vs. PlanetScale vs. Spark SQL vs. Transbase vs. Warp 10

System Properties Comparison GeoMesa vs. PlanetScale vs. Spark SQL vs. Transbase vs. Warp 10

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.geomesa.orgplanetscale.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlwww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersPlanetScaleApache Software FoundationTransaction Software GmbHSenX
Initial release20142020201419872015
Current release5.0.0, May 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial infofree development licenseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaGoScalaC and C++Java
Server operating systemsDocker
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP API
Jupyter
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnoyesyes infoWarpScript
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingyes, utilizing Spark CoreSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
noneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
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 layeryesnonoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GeoMesaPlanetScaleSpark SQLTransbaseWarp 10
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