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DBMS > GeoSpock vs. IBM Db2 warehouse vs. ObjectBox vs. OpenQM vs. Pinecone

System Properties Comparison GeoSpock vs. IBM Db2 warehouse vs. ObjectBox vs. OpenQM vs. Pinecone

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenQM infoalso called QM  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 scaleCloud-based data warehousing serviceExtremely fast embedded database for small devices, IoT and MobileQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSMultivalue DBMSVector DBMS
Secondary database modelsTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegeospock.comwww.ibm.com/­products/­db2/­warehouseobjectbox.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.io
Technical documentationdocs.objectbox.iodocs.pinecone.io/­docs/­overview
DeveloperGeoSpockIBMObjectBox LimitedRocket Software, originally Martin PhillipsPinecone Systems, Inc
Initial release2014201719932019
Current release2.0, September 20193.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
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 systemshostedhostedAndroid
iOS
Linux
macOS
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hosted
Data schemeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyesString, 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.nono infoImport/export of XML data possiblenoyesno
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnonono
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
Proprietary native APIRESTful HTTP API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Basic
C
Java
Objective C
PHP
Python
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardyesAccess rights can be defined down to the item level
More information provided by the system vendor
GeoSpockIBM Db2 warehouse infoformerly named IBM dashDBObjectBoxOpenQM infoalso called QMPinecone
News

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29 May 2024

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29 May 2024

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23 May 2024

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21 May 2024

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More resources
GeoSpockIBM Db2 warehouse infoformerly named IBM dashDBObjectBoxOpenQM infoalso called QMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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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

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Data Mining in Db2 Warehouse: the basics
23 June 2020, Towards Data Science

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
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31 May 2023, Datamation

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ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

The Megashift Towards Decentralized Edge Computing
27 August 2021, hackernoon.com

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PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
11 June 2024, PR Newswire

Pinecone launches its serverless vector database out of preview
14 June 2024, Yahoo Movies UK

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

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

A New Era AI Databases: PostgreSQL with pgvectorscale Outperforms Pinecone and Cuts Costs by 75% with New Open-Source Extensions
12 June 2024, MarkTechPost

provided by Google News



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