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DBMS > GeoSpock vs. Oracle Rdb vs. Vitess vs. WakandaDB

System Properties Comparison GeoSpock vs. Oracle Rdb vs. Vitess vs. WakandaDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOracle Rdb  Xexclude from comparisonVitess  Xexclude from comparisonWakandaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleScalable, distributed, cloud-native DBMS, extending MySQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegeospock.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlvitess.iowakanda.github.io
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlvitess.io/­docswakanda.github.io/­doc
DeveloperGeoSpockOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation, PlanetScaleWakanda SAS
Initial release198420132012
Current release2.0, September 20197.4.1.1, 202115.0.2, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptGoC++, JavaScript
Server operating systemshostedHP Open VMSDocker
Linux
macOS
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyes infowith proprietary extensionsno
APIs and other access methodsJDBCADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per tableUsers with fine-grained authorization concept infono user groups or rolesyes

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More resources
GeoSpockOracle RdbVitessWakandaDB
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How GeoSpock is supercharging geospatial analytics
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