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DBMS > GeoSpock vs. Hyprcubd vs. OpenQM vs. TDengine vs. Valentina Server

System Properties Comparison GeoSpock vs. Hyprcubd vs. OpenQM vs. TDengine vs. Valentina Server

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTDengine  Xexclude from comparisonValentina Server  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleServerless Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value DBMSTime Series DBMS and big data platformObject-relational database and reports server
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegeospock.comhyprcubd.com (offline)www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­taosdata/­TDengine
tdengine.com
www.valentina-db.net
Technical documentationdocs.tdengine.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeoSpockHyprcubd, Inc.Rocket Software, originally Martin PhillipsTDEngine, previously Taos DataParadigma Software
Initial release199320191999
Current release2.0, September 20193.4-123.0, August 20225.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptGoC
Server operating systemshostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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.nonoyesno
Secondary indexestemporal, categoricalnoyesnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languagenoStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBCgRPC (https)JDBC
RESTful HTTP API
ODBC
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersnonoyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tabletoken accessAccess rights can be defined down to the item levelyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockHyprcubdOpenQM infoalso called QMTDengineValentina Server
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
GeoSpockHyprcubdOpenQM infoalso called QMTDengineValentina Server
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

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

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7 December 2018, H2S Media

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