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DBMS > EventStoreDB vs. Google BigQuery vs. Microsoft SQL Server vs. Oracle

System Properties Comparison EventStoreDB vs. Google BigQuery vs. Microsoft SQL Server vs. Oracle

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSWidely used RDBMS
Primary database modelEvent StoreRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#179  Overall
#1  Event Stores
Score43.79
Rank#25  Overall
#16  Relational DBMS
Score970.61
Rank#3  Overall
#3  Relational DBMS
Score1270.35
Rank#1  Overall
#1  Relational DBMS
Websitewww.eventstore.comcloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database
Technical documentationdevelopers.eventstore.comcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­database
DeveloperEvent Store LimitedGoogleMicrosoftOracle
Initial release2012201019891980
Current release21.2, February 2021SQL Server 2019, November 201919c, February 2019
License infoCommercial or Open SourceOpen Sourcecommercialcommercial inforestricted free version is availablecommercial inforestricted free version is available
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.
Event Store Cloud allows you to deploy a managed EventStoreDB cluster in AWS, GCP and Azure (coming soon).
Implementation languageC++C and C++
Server operating systemsLinux
Windows
hostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possible
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infoisolation level can be parameterized
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.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
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-standard
More information provided by the system vendor
EventStoreDBGoogle BigQueryMicrosoft SQL ServerOracle
Specific characteristicsGuaranteed writes Great performance that scales Immutable data store High availability...
» more
Competitive advantagesEventStoreDB's core database server is used in production systems worldwide. The...
» more
Typical application scenariosEvent-sourced systems Event-driven architecture
» more
Key customersEventStoreDB is used by companies across a whole range of industries. Here are just...
» more
Licensing and pricing modelsAvailable as open-source software and licensed under the 3-clause BSD license ( https://github.com/EventStore/EventStore/blob/master/LICENSE.md...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EventStoreDBGoogle BigQueryMicrosoft SQL ServerOracle
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