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DBMS > InterSystems Caché vs. SWC-DB vs. Vertica vs. Yanza

System Properties Comparison InterSystems Caché vs. SWC-DB vs. Vertica vs. Yanza

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYanza  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverA high performance, scalable Wide Column DBMSCloud 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.Time Series DBMS for IoT Applications
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Wide column storeRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsDocument storeTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#364  Overall
#13  Wide column stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.intersystems.com/­products/­cachegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.vertica.comyanza.com
Technical documentationdocs.intersystems.comvertica.com/­documentation
DeveloperInterSystemsAlex KashirinOpenText infopreviously Micro Focus and Hewlett PackardYanza
Initial release1997202020052015
Current release2018.1.4, May 20200.5, April 202112.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3commercial infoLimited community edition freecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinuxWindows
Data schemedepending on used data modelschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnonono
Secondary indexesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.no
SQL infoSupport of SQLyesSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Supported programming languagesC#
C++
Java
C++C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnoyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyesnoyes, called Custom Alertsyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning, hierarchical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashno
More information provided by the system vendor
InterSystems CachéSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™Yanza
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...
» more

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More resources
InterSystems CachéSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™Yanza
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