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DBMS > Cassandra vs. CrateDB vs. Sadas Engine

System Properties Comparison Cassandra vs. CrateDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonCrateDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDistributed Date Store based on LuceneSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelWide column storeRelational DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score119.20
Rank#11  Overall
#1  Wide column stores
Score0.91
Rank#182  Overall
#87  Relational DBMS
#11  Search engines
Score0.01
Rank#351  Overall
#146  Relational DBMS
Websitecassandra.apache.orgcrate.iowww.sadasengine.com
Technical documentationcassandra.apache.org/­doc/­latestcrate.io/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookCrateSADAS s.r.l.
Initial release200820132006
Current release4.0.1, September 20218.0
License infoCommercial or Open SourceOpen Source infoApache version 2Open Sourcecommercial infofree trial version 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.
Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java 7 (and higher) VMAIX
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
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 solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes, but no triggers and constraintsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factornone
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
Eventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategy
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.nonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users can be defined per objectrights management via user accountsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CassandraCrateDBSadas Engine
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
CrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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CrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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DataStax Enterprise: Apache Cassandra for enterprises.
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Instaclustr: Hosted & Managed Apache Cassandra as a Service
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More resources
CassandraCrateDBSadas Engine
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