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DBMS > Cassandra vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB

System Properties Comparison Cassandra vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelWide column storeKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score114.65
Rank#12  Overall
#1  Wide column stores
Score5.01
Rank#81  Overall
#12  Key-value stores
#8  Wide column stores
Score37.95
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecassandra.apache.orgcloud.google.com/­bigtableazure.microsoft.com/­services/­cosmos-db
Technical documentationcassandra.apache.org/­doc/­latestcloud.google.com/­bigtable/­docsdocs.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleMicrosoft
Initial release200820152014
Current release4.0.7, October 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
  • Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.
Implementation languageJava
Server operating systemsBSD
Linux
OS X
Windows
hostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON types
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 infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like query language
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)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
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
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoJavaScript
TriggersyesnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud service
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 zonesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
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)Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsAtomic single-row operationsMulti-item ACID transactions with snapshot isolation within a partition
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.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)Access rights can be defined down to the item level
More information provided by the system vendor
CassandraGoogle Cloud BigtableMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAiven for Apache Cassandra: A truly distributed database that can handle large volumes of writes.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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DataStax Cassandra: Zero touch operations, configuration and management with true autoscaling
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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 Azure Cosmos DB infoformer name was Azure DocumentDB
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