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DBMS > Google BigQuery vs. Greenplum vs. Microsoft SQL Server vs. RavenDB

System Properties Comparison Google BigQuery vs. Greenplum vs. Microsoft SQL Server vs. RavenDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Microsofts flagship relational DBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitecloud.google.com/­bigquerygreenplum.orgwww.microsoft.com/­en-us/­sql-serverravendb.net
Technical documentationcloud.google.com/­bigquery/­docsdocs.greenplum.orglearn.microsoft.com/­en-US/­sql/­sql-serverravendb.net/­docs
DeveloperGooglePivotal Software Inc.MicrosoftHibernating Rhinos
Initial release2010200519892010
Current release7.0.0, September 2023SQL Server 2022, November 20225.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemshostedLinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infosince Version 4.2yes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server EditionMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID, Cluster-wide transaction available
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.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Google BigQueryGreenplumMicrosoft SQL ServerRavenDB
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