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DBMS > GBase vs. Newts vs. searchxml vs. Spark SQL

System Properties Comparison GBase vs. Newts vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonNewts  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time Series DBMS based on CassandraDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.gbase.cnopennms.github.io/­newtswww.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationgithub.com/­OpenNMS/­newts/­wikiwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeneral Data Technology Co., Ltd.OpenNMS Groupinformationpartners gmbhApache Software Foundation
Initial release2004201420152014
Current releaseGBase 8a, GBase 8s, GBase 8c1.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC++Scala
Server operating systemsLinuxLinux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLStandard with numerous extensionsnonoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HTTP REST
Java API
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesC#JavaC++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoon the application serverno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on Cassandranoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writerno
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 controlyesnoDomain, group and role-based access control at the document level and for application servicesno

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More resources
GBaseNewtssearchxmlSpark SQL
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