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DBMS > Cassandra vs. ScyllaDB vs. Spark SQL

System Properties Comparison Cassandra vs. ScyllaDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCassandra and DynamoDB compatible wide column storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score116.31
Rank#12  Overall
#1  Wide column stores
Score5.33
Rank#77  Overall
#8  Wide column stores
Score20.06
Rank#36  Overall
#22  Relational DBMS
Websitecassandra.apache.orgwww.scylladb.comspark.apache.org/­sql
Technical documentationcassandra.apache.org/­doc/­latestdocs.scylladb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookScyllaDBApache Software Foundation
Initial release200820152014
Current release4.1.0, December 2022ScyllaDB Open Source 5.0, July 20223.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoOpen Source (AGPL), commercial license availableOpen 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.
  • Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.
  • Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++Scala
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 solutionyes infocluster global secondary indicesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL)SQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, Luano
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 possibleselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
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
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoAtomicity and isolation are supported for single operationsno
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.noyes infoin-memory tablesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per objectno
More information provided by the system vendor
CassandraScyllaDBSpark SQL
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
ScyllaDB is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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AdTech ( AdGear , FullContact , Numberly , SAS , SteelHouse , Xandr) Customer Data...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Comcast, Samsung, Medium, Disney+ Hotstar, Discord, Zillow, Grab, OlaCabs, Numberly,...
» 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
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» 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 partiesAiven for Apache Cassandra: A truly distributed database that can handle large volumes of writes.
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