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DBMS > BaseX vs. Google Cloud Spanner vs. Hawkular Metrics vs. Hive vs. Warp 10

System Properties Comparison BaseX vs. Google Cloud Spanner vs. Hawkular Metrics vs. Hive vs. Warp 10

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelNative XML DBMSRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitebasex.orgcloud.google.com/­spannerwww.hawkular.orghive.apache.orgwww.warp10.io
Technical documentationdocs.basex.orgcloud.google.com/­spanner/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homewww.warp10.io/­content/­02_Getting_started
DeveloperBaseX GmbHGoogleCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookSenX
Initial release20072017201420122015
Current release10.7, August 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
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.nonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP RESTJDBC
ODBC
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnonoyes infouser defined functions and integration of map-reduceyes infoWarpScript
Triggersyes infovia eventsnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.selectable replication factor infobased on Cassandraselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID infoStrict serializable isolationnonono
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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BaseXGoogle Cloud SpannerHawkular MetricsHiveWarp 10
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