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DBMS > BaseX vs. Drizzle vs. GeoSpock vs. Hawkular Metrics vs. Teradata Aster

System Properties Comparison BaseX vs. Drizzle vs. GeoSpock vs. Hawkular Metrics vs. Teradata Aster

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Platform for big data analytics on multistructured data sources and types
Primary database modelNative XML DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitebasex.orggeospock.comwww.hawkular.org
Technical documentationdocs.basex.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerGeoSpockCommunity supported by Red HatTeradata
Initial release2007200820142005
Current release10.7, August 20237.2.4, September 20122.0, September 2019
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, JavascriptJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyesyes
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.nonoyes infoin Aster File Store
Secondary indexesyesyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI SQL for query only (using Presto)noyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCJDBCHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
Go
Java
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnononoR packages
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.noyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 levelsPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablenofine grained access rights according to SQL-standard

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More resources
BaseXDrizzleGeoSpockHawkular MetricsTeradata Aster
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