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DBMS > ITTIA vs. LokiJS vs. MonetDB vs. Vertica

System Properties Comparison ITTIA vs. LokiJS vs. MonetDB vs. Vertica

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonLokiJS  Xexclude from comparisonMonetDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingIn-memory JavaScript DBMSA relational database management system that stores data in columnsCloud 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 modelTime Series DBMSDocument storeRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.ittia.comgithub.com/­techfort/­LokiJSwww.monetdb.orgwww.vertica.com
Technical documentationtechfort.github.io/­LokiJSwww.monetdb.org/­Documentationvertica.com/­documentation
DeveloperITTIA L.L.C.MonetDB BVOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2007201420042005
Current release8.7Dec2023 (11.49), December 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMozilla Public License 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono 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 languageC and C++JavaScriptCC++
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeFixed schemaschema-freeyesYes, 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 dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalnoyesyes
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 indexesyesyes infovia viewsyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesnoyes infoSQL 2003 with some extensionsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
JavaScript APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
JavaScript (Node.js)
Python
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes, in SQL, C, Ryes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tableshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoSource-replica replication available in experimental statusMulti-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 methodsnoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlDatabase file passwordsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
ITTIALokiJSMonetDBVertica 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...
» more
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...
» more

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More resources
ITTIALokiJSMonetDBVertica infoOpenText™ Vertica™
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