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DBMS > BaseX vs. HarperDB vs. ObjectBox vs. Trino vs. Vertica

System Properties Comparison BaseX vs. HarperDB vs. ObjectBox vs. Trino vs. Vertica

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTrino  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Extremely fast embedded database for small devices, IoT and MobileFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLCloud 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 modelNative XML DBMSDocument storeObject oriented DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsTime Series 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
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitebasex.orgwww.harperdb.ioobjectbox.iotrino.iowww.vertica.com
Technical documentationdocs.basex.orgdocs.harperdb.io/­docsdocs.objectbox.iotrino.io/­broadcast
trino.io/­docs/­current
vertica.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperBaseX GmbHHarperDBObjectBox LimitedTrino Software FoundationOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2007201720172012 info2020 rebranded from PrestoSQL2005
Current release10.7, August 20233.1, August 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial infofree community edition availableOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaNode.jsC and C++JavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Android
iOS
Linux
macOS
Windows
Linux
macOS infofor devlopment
Linux
Data schemeschema-freedynamic schemayesyesYes, 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 dateno infoXQuery supports typesyes infoJSON data typesyesyesyes
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.nononono
Secondary indexesyesyesyesdepending on connected data-sourceNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native APIJDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1noyes, depending on connected data-sourceyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia eventsnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternonedepending on connected data-sourcehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedonline/offline synchronization between client and serverdepending on connected data-sourceMulti-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 integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerAtomic execution of specific operationsACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users and rolesyesSQL standard access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BaseXHarperDBObjectBoxTrinoVertica infoOpenText™ Vertica™
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
Cost-based models and subscription-based models are both available. One license is...
» more
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