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DBMS > GeoSpock vs. Heroic vs. Oracle Rdb vs. Postgres-XL

System Properties Comparison GeoSpock vs. Heroic vs. Oracle Rdb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHeroic  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostgres-XL  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 scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegeospock.comgithub.com/­spotify/­heroicwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.postgres-xl.org
Technical documentationspotify.github.io/­heroicwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.postgres-xl.org/­documentation
DeveloperGeoSpockSpotifyOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201419842014 infosince 2012, originally named StormDB
Current release2.0, September 20197.4.1.1, 202110 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla public license
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, JavascriptJavaC
Server operating systemshostedHP Open VMSLinux
macOS
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexestemporal, categoricalyes infovia Elasticsearchyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesyes infodistributed, parallel query execution
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
GeoSpockHeroicOracle RdbPostgres-XL
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How GeoSpock is supercharging geospatial analytics
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