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DBMS > searchxml vs. Spark SQL vs. Transbase vs. YottaDB

System Properties Comparison searchxml vs. Spark SQL vs. Transbase vs. YottaDB

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Editorial information provided by DB-Engines
Namesearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSA fast and solid embedded Key-value store
Primary database modelNative XML DBMS
Search engine
Relational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.searchxml.net/­category/­productsspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlyottadb.com
Technical documentationwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlyottadb.com/­resources/­documentation
Developerinformationpartners gmbhApache Software FoundationTransaction Software GmbHYottaDB, LLC
Initial release2015201419872001
Current release1.03.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree development licenseOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC and C++C
Server operating systemsWindowsLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesby using the Octo plugin
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++ infomost other programming languages supported via APIsJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoon the application servernoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyes
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesnofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
searchxmlSpark SQLTransbaseYottaDB
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