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DBMS > Cassandra vs. MarkLogic vs. Sadas Engine

System Properties Comparison Cassandra vs. MarkLogic vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score113.66
Rank#11  Overall
#1  Wide column stores
Score9.15
Rank#48  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.00
Rank#348  Overall
#143  Relational DBMS
Websitecassandra.apache.orgwww.marklogic.comwww.sadasengine.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.marklogic.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMarkLogic Corp.SADAS s.r.l.
Initial release200820012006
Current release4.0, July 20219.0, 20178.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availablecommercial 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.
Implementation languageJavaC++C++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyes
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.noyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes infoSQL92yes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptno
Triggersyesyesno
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 possibleyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate 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 operationsACID infocan act as a resource manager in an XA/JTA transaction
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, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CassandraMarkLogicSadas Engine
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» 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
CassandraMarkLogicSadas Engine
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