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DBMS > GeoSpock vs. Google BigQuery vs. Kinetica

System Properties Comparison GeoSpock vs. Google BigQuery vs. Kinetica

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonKinetica  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 scaleLarge scale data warehouse service with append-only tablesFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegeospock.comcloud.google.com/­bigquerywww.kinetica.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.kinetica.com
DeveloperGeoSpockGoogleKinetica
Initial release20102012
Current release2.0, September 20197.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC, C++
Server operating systemshostedhostedLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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, categoricalnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like DML and DDL statements
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptuser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users can be defined per tableAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles on table level

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More resources
GeoSpockGoogle BigQueryKinetica
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