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DBMS > Google BigQuery vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. Pinecone vs. Snowflake

System Properties Comparison Google BigQuery vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. Pinecone vs. Snowflake

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPinecone  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA managed, cloud-native vector databaseCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitecloud.google.com/­bigquerywww.progress.com/­marklogicazure.microsoft.com/­services/­synapse-analyticswww.pinecone.iowww.snowflake.com
Technical documentationcloud.google.com/­bigquery/­docswww.progress.com/­marklogic/­documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.pinecone.io/­docs/­overviewdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleMarkLogic Corp.MicrosoftPinecone Systems, IncSnowflake Computing Inc.
Initial release20102001201620192014
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinux
OS X
Windows
hostedhostedhosted
Data schemeyesschema-free infoSchema can be enforcedyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesString, 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.noyesnonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyes infoSQL92yesnoyes
APIs and other access methodsRESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
PythonJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infovia XQuery or JavaScriptTransact SQLuser defined functions
Triggersnoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID
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.noyes, with Range Indexesnono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access control at the document and subdocument levelsyesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google BigQueryMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePineconeSnowflake
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