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DBMS > GeoSpock vs. TerarkDB vs. Ultipa vs. XTDB

System Properties Comparison GeoSpock vs. TerarkDB vs. Ultipa vs. XTDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonTerarkDB  Xexclude from comparisonUltipa  Xexclude from comparisonXTDB infoformerly named Crux  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 scaleA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh performance Graph DBMS supporting HTAP high availability cluster deploymentA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSKey-value storeGraph DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.19
Rank#330  Overall
#30  Graph DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegeospock.comgithub.com/­bytedance/­terarkdbwww.ultipa.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.ultipa.com/­documentwww.xtdb.com/­docs
DeveloperGeoSpockByteDance, originally TerarkUltipaJuxt Ltd.
Initial release201620192019
Current release2.0, September 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial inforestricted open source version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++Clojure
Server operating systemshostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes, extensible-data-notation format
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)nolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCC++ API
Java API
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC++
Java
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableno

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More resources
GeoSpockTerarkDBUltipaXTDB infoformerly named Crux
Recent citations in the news

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

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

Imagining an 'Everything Connected' World With Geospock | AWS Startups Blog
20 June 2019, AWS Blog

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

GeoSpock launches pioneering new spatial Big Data platform
27 February 2019, Geospatial World

provided by Google News

A Chinese company is making the cloud 200x faster ยท TechNode
3 July 2017, TechNode

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30 January 2024, Data Science Central

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