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DBMS > IBM Cloudant vs. IBM Db2 warehouse vs. TinkerGraph vs. Vertica

System Properties Comparison IBM Cloudant vs. IBM Db2 warehouse vs. TinkerGraph vs. Vertica

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBCloud-based data warehousing serviceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APICloud 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 storeRelational DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score1.34
Rank#166  Overall
#76  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2/­warehousetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.vertica.com
Technical documentationcloud.ibm.com/­docs/­Cloudantvertica.com/­documentation
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2010201420092005
Current release12.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesyesnono 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 languageErlangJavaC++
Server operating systemshostedhostedLinux
Data schemeschema-freeyesschema-freeYes, 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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
TinkerPop 3ADO.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
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Groovy
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptPL/SQL, SQL PLnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneMulti-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 methodsyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
IBM CloudantIBM Db2 warehouse infoformerly named IBM dashDBTinkerGraphVertica 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...
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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 CloudantIBM Db2 warehouse infoformerly named IBM dashDBTinkerGraphVertica infoOpenText™ Vertica™
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