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DBMS > Cassandra vs. Fauna vs. IBM Db2 Event Store

System Properties Comparison Cassandra vs. Fauna vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonFauna  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Distributed Event Store optimized for Internet of Things use cases
Primary database modelWide column storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score113.66
Rank#11  Overall
#1  Wide column stores
Score1.53
Rank#136  Overall
#22  Document stores
#12  Graph DBMS
#67  Relational DBMS
#9  Time Series DBMS
Score0.43
Rank#248  Overall
#2  Event Stores
#17  Time Series DBMS
Websitecassandra.apache.orgfauna.comwww.ibm.com/­products/­db2-event-store
Technical documentationcassandra.apache.org/­doc/­latestdocs.fauna.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFauna, Inc.IBM
Initial release200820142017
Current release4.0, July 20212.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial infofree developer edition available
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 languageJavaScalaC and C++
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux infoLinux, macOS, Windows for the developer addition
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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyes infothrough the embedded Spark runtime
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per objectIdentity management, authentication, and access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraFaunaIBM Db2 Event Store
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Serverless database delivered as an API Web-native security model with attribute...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
ShiftX
» 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
Usage-based pricing including a free tier
» more

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Related products and services
3rd partiesInstaclustr: Hosted & Managed Apache Cassandra as a Service
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DataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CassandraFaunaIBM Db2 Event Store
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