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DBMS > Cassandra vs. FeatureBase vs. ScyllaDB

System Properties Comparison Cassandra vs. FeatureBase vs. ScyllaDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonFeatureBase  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cassandra and DynamoDB compatible wide column store
Primary database modelWide column storeRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score116.22
Rank#11  Overall
#1  Wide column stores
Score0.42
Rank#292  Overall
#137  Relational DBMS
Score5.63
Rank#77  Overall
#8  Wide column stores
Websitecassandra.apache.orgwww.molecula.comwww.scylladb.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.molecula.clouddocs.scylladb.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMolecula and Pilosa Open Source ContributorsScyllaDB
Initial release200820172015
Current release4.1.0, December 20222022, May 2022ScyllaDB Open Source 5.0, July 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoOpen Source (AGPL), commercial license available
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.
  • Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.
Implementation languageJavaGoC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Linux
Data schemeschema-freeyesschema-free
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 solutionnoyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL queriesSQL-like DML and DDL statements (CQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Java
Python
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
Server-side scripts infoStored proceduresnoyes, Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyesno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per object
More information provided by the system vendor
CassandraFeatureBaseScyllaDB
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 partiesInstaclustr: Hosted & Managed Apache Cassandra as a Service
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Aiven for Apache Cassandra: A truly distributed database that can handle large volumes of writes.
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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
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Conferences and events

Building scalable real-time apps with AstraDB (DBaaS) and Vaadin
Webinar, 6:00 PM - 6:30 PM GMT (UTC+00:00), 30 January 2023 (finished)

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