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DBMS > Cassandra vs. FoundationDB vs. Spark SQL

System Properties Comparison Cassandra vs. FoundationDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonFoundationDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOrdered key-value store. Core features are complimented by layers.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score118.99
Rank#10  Overall
#1  Wide column stores
Score1.32
Rank#150  Overall
#25  Document stores
#28  Key-value stores
#73  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websitecassandra.apache.orgwww.foundationdb.orgspark.apache.org/­sql
Technical documentationcassandra.apache.org/­doc/­latestapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFoundationDBApache Software Foundation
Initial release200820132014
Current release4.0, July 20216.2.28, November 20203.1.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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.
Implementation languageJavaC++Scala
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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 solutionnono
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)supported in specific SQL layer onlySQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlyno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Linearizable consistency
Foreign keys infoReferential integritynoin SQL-layer onlyno
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 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 objectnono
More information provided by the system vendor
CassandraFoundationDBSpark SQL
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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Instaclustr: Hosted & Managed Apache Cassandra as a Service
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CData: Connect to Big Data & NoSQL through standard Drivers.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CassandraFoundationDBSpark SQL
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