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DBMS > IBM Cloudant vs. MarkLogic vs. SpaceTime vs. Vertica

System Properties Comparison IBM Cloudant vs. MarkLogic vs. SpaceTime vs. Vertica

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpaceTime  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBOperational and transactional Enterprise NoSQL databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.progress.com/­marklogicwww.mireo.com/­spacetimewww.vertica.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.progress.com/­marklogic/­documentationvertica.com/­documentation
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MarkLogic Corp.MireoOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2010200120202005
Current release11.0, December 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeschema-free infoSchema can be enforcedyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesnono
Secondary indexesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infoSQL92A subset of ANSI SQL is implementedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infovia XQuery or JavaScriptnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFixed-grid hypercubeshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesReal-time block device replication (DRBD)Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnono
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
IBM CloudantMarkLogicSpaceTimeVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
IBM CloudantMarkLogicSpaceTimeVertica infoOpenText™ Vertica™
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