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DBMS > GeoSpock vs. JaguarDB

System Properties Comparison GeoSpock vs. JaguarDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#280  Overall
#129  Relational DBMS
Score0.02
Rank#334  Overall
#54  Key-value stores
Websitegeospock.comwww.datajaguar.com
Technical documentationdocs.geospock.com/­Content/­Home.htmwww.datajaguar.com/­support.php
DeveloperGeoSpockDataJaguar, Inc.
Initial release2015
Current release2.0, September 20192.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++ infothe server part. Clients available in other languages
Server operating systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexestemporal, categoricalyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tablerights management via user accounts
More information provided by the system vendor
GeoSpockJaguarDB
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoSpockJaguarDB
Recent citations in the news

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

GeoSpock joins Tomorrow Street to accelerate next-generation database technology adoption
28 October 2020, RealWire

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, PRNewswire

GeoSpock looks to unlock blockchain benefits for cities following $5.4 million investment
7 October 2020, Cities Today

GeoSpock raises additional $5.4m funding
3 October 2020, UKTN

provided by Google News




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