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DBMS > Drizzle vs. Microsoft Azure SQL Database vs. Pinecone

System Properties Comparison Drizzle vs. Microsoft Azure SQL Database vs. Pinecone

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPinecone  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Database as a Service offering with high compatibility to Microsoft SQL ServerA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.37
Rank#16  Overall
#11  Relational DBMS
Score3.34
Rank#77  Overall
#6  Vector DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.pinecone.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.pinecone.io/­docs/­overview
DeveloperDrizzle project, originally started by Brian AkerMicrosoftPinecone Systems, Inc
Initial release200820102019
Current release7.2.4, September 2012V12
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsFreeBSD
Linux
OS X
hostedhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, 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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresnoTransact SQL
Triggersno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
DrizzleMicrosoft Azure SQL Database infoformerly SQL AzurePinecone
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