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DBMS > Amazon Aurora vs. BigObject vs. Cassandra vs. Microsoft SQL Server vs. Vertica

System Properties Comparison Amazon Aurora vs. BigObject vs. Cassandra vs. Microsoft SQL Server vs. Vertica

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBigObject  Xexclude from comparisonCassandra  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for real-time computations and queriesWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessMicrosofts flagship relational DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedWide column storeRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument storeVector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score98.83
Rank#12  Overall
#1  Wide column stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorabigobject.iocassandra.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.vertica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.bigobject.iocassandra.apache.org/­doc/­latestlearn.microsoft.com/­en-US/­sql/­sql-serververtica.com/­documentation
DeveloperAmazonBigObject, Inc.Apache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20152015200819892005
Current release4.1.3, July 2023SQL Server 2022, November 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache version 2commercial inforestricted free version is availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaC++C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
BSD
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonoyesno
Secondary indexesyesyesrestricted infoonly equality queries, not always the best performing solutionyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like SELECT, DML and DDL statements (CQL)yesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
fluentd
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesLuanoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infono "single point of failure"tables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, but depending on the SQL-Server EditionMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon AuroraBigObjectCassandraMicrosoft SQL ServerVertica infoOpenText™ Vertica™
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Cost-based models and subscription-based models are both available. One license is...
» more
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