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DBMS > Cassandra vs. Google Cloud Bigtable vs. Microsoft Access

System Properties Comparison Cassandra vs. Google Cloud Bigtable vs. Microsoft Access

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelWide column storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.72
Rank#10  Overall
#1  Wide column stores
Score2.06
Rank#109  Overall
#7  Wide column stores
Score143.78
Rank#9  Overall
#6  Relational DBMS
Websitecassandra.apache.orgcloud.google.com/­bigtableproducts.office.com/­en-us/­access
Technical documentationcassandra.apache.org/­doc/­latestcloud.google.com/­bigtable/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleMicrosoft
Initial release200820151992
Current release3.11.4, February 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsBSD
Linux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsAtomic single-row operationsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
CassandraGoogle Cloud BigtableMicrosoft Access
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» 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

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

Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Instaclustr: Fully Hosted and Managed Apache Cassandra
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CassandraGoogle Cloud BigtableMicrosoft Access
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Conferences and events

DataStax Accelerate, Apache Cassandra Conference
National Harbor, Maryland, USA, 21-23 May 2019 (finished)

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