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DBMS > Cassandra vs. Google BigQuery vs. Microsoft SQL Server vs. ObjectBox

System Properties Comparison Cassandra vs. Google BigQuery vs. Microsoft SQL Server vs. ObjectBox

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessLarge scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelWide column storeRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitecassandra.apache.orgcloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverobjectbox.io
Technical documentationcassandra.apache.org/­doc/­latestcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.io
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleMicrosoftObjectBox Limited
Initial release2008201019892017
Current release4.1.3, July 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, but depending on the SQL-Server Editiononline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoSince BigQuery is designed for querying dataACIDACID
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.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
CassandraGoogle BigQueryMicrosoft SQL ServerObjectBox
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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