DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > OpenQM vs. Pinecone vs. SWC-DB vs. Transwarp ArgoDB

System Properties Comparison OpenQM vs. Pinecone vs. SWC-DB vs. Transwarp ArgoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector databaseA high performance, scalable Wide Column DBMSDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelMultivalue DBMSVector DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperRocket Software, originally Martin PhillipsPinecone Systems, IncAlex KashirinTranswarp
Initial release199320192020
Current release3.4-120.5, April 2021
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedLinux
Data schemeyes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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.yesnono
Secondary indexesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIProprietary protocol
Thrift
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
PythonC++
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 can be defined down to the item level

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OpenQM infoalso called QMPineconeSWC-DB infoSuper Wide Column DatabaseTranswarp ArgoDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

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

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

Gathr Partners with Pinecone to Accelerate Generative AI Adoption
12 June 2024, ARC Advisory Group

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

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

provided by Google News

2022 All O-Zone Football Team
17 December 2022, Ozarks Sports Zone

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here