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DBMS > BaseX vs. OpenEdge vs. Oracle Rdb vs. Vertica

System Properties Comparison BaseX vs. OpenEdge vs. Oracle Rdb vs. Vertica

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Rdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Application development environment with integrated database management systemCloud 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 DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial 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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitebasex.orgwww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.vertica.com
Technical documentationdocs.basex.orgdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlvertica.com/­documentation
DeveloperBaseX GmbHProgress Software CorporationOracle, originally developed by Digital Equipment Corporation (DEC)OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2007198419842005
Current release10.7, August 2023OpenEdge 12.2, March 20207.4.1.1, 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercial 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 languageJavaC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
HP Open VMSLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)Yes, 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 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.yesnono
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infoclose to SQL 92yesFull 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
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
Progress proprietary ABL (Advanced Business Language)C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia eventsyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4horizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-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 methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDyes, on a single nodeACID
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsUsers and groupsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BaseXOpenEdgeOracle RdbVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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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,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
BaseXOpenEdgeOracle RdbVertica infoOpenText™ Vertica™
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