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DBMS > GeoSpock vs. IRONdb

System Properties Comparison GeoSpock vs. IRONdb

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#302  Overall
#137  Relational DBMS
Score0.12
Rank#349  Overall
#34  Time Series DBMS
Websitegeospock.comwww.circonus.com/­solutions/­time-series-database
Technical documentationdocs.geospock.com/­Content/­Home.htmdocs.circonus.com/­irondb
DeveloperGeoSpockCirconus LLC.
Initial release2017
Current release2.0, September 2019V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial
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 and C++
Server operating systemshostedLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histograms
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, categoricalno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBCHTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes, in Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
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 tableno

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More resources
GeoSpockIRONdb
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

Cambridge-based data analytics startup GeoSpock lands €4.6 million
2 October 2020, EU-Startups

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

provided by Google News

Circonus Simplifies Monitoring & Observability for Large Enterprises
11 May 2022, PR Newswire

provided by Google News

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