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

DBMS > Microsoft Azure Synapse Analytics vs. OpenQM vs. Pinecone

System Properties Comparison Microsoft Azure Synapse Analytics vs. OpenQM vs. Pinecone

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector database
Primary database modelRelational DBMSMultivalue DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.pinecone.io/­docs/­overview
DeveloperMicrosoftRocket Software, originally Martin PhillipsPinecone Systems, Inc
Initial release201619932019
Current release3.4-12
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hosted
Data schemeyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesString, 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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
Python
Server-side scripts infoStored proceduresTransact SQLyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
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 infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesAccess 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
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone leads 'explosion' in vector databases for generative AI
14 July 2023, VentureBeat

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

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

provided by Google News



Share this page

Featured Products

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Milvus logo

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

Neo4j logo

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

Present your product here