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DBMS > SiteWhere vs. TimescaleDB vs. Trino vs. UniData,UniVerse vs. Vertica

System Properties Comparison SiteWhere vs. TimescaleDB vs. Trino vs. UniData,UniVerse vs. Vertica

Editorial information provided by DB-Engines
NameSiteWhere  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTrino  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLMultiValue database and application server with SQL mapping layer and meta database capabilitiesCloud 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 DBMSTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­sitewhere/­sitewherewww.timescale.comtrino.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.vertica.com
Technical documentationsitewhere1.sitewhere.io/­index.htmldocs.timescale.comtrino.io/­broadcast
trino.io/­docs/­current
docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatavertica.com/­documentation
DeveloperSiteWhereTimescaleTrino Software FoundationRocket SoftwareOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201020172012 info2020 rebranded from PrestoSQL19852005
Current release2.15.0, May 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaCC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS infofor devlopment
AIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemepredefined schemeyesyesschema-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 dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesoptionalyes
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 indexesnoyesdepending on connected data-sourceyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infofull PostgreSQL SQL syntaxyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Trino CLI
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
Basic infoU2 Basic
C
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes, depending on connected data-sourceyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyes infoU2 Basicyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, across time and space (hash partitioning) attributesdepending on connected data-sourcenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas infodepending on connected data-sourceSource-replica replicationMulti-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 methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-sourceACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardSQL standard access controlAccess rights according to SQL-standard and operating system basedfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
SiteWhereTimescaleDBTrinoUniData,UniVerseVertica infoOpenText™ Vertica™
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
SiteWhereTimescaleDBTrinoUniData,UniVerseVertica infoOpenText™ Vertica™
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