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DBMS > GeoSpock vs. Google BigQuery vs. Pinecone

System Properties Comparison GeoSpock vs. Google BigQuery vs. Pinecone

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPinecone  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 tablesA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegeospock.comcloud.google.com/­bigquerywww.pinecone.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.pinecone.io/­docs/­overview
DeveloperGeoSpockGooglePinecone Systems, Inc
Initial release20102019
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedhostedhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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, categoricalno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesno
APIs and other access methodsJDBCRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying data
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.nonono
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)

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More resources
GeoSpockGoogle BigQueryPinecone
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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

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2 October 2020, EU-Startups

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20 July 2023, Datanami

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22 May 2024, SiliconANGLE News

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

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21 May 2024, Datanami

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