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

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

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Datastore  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular 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 DBMSDocument storeTime 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
Score4.47
Rank#76  Overall
#12  Document stores
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/­datastorewww.hawkular.orghive.apache.orgwww.warp10.io
Technical documentationdocs.basex.orgcloud.google.com/­datastore/­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 release20072008201420122015
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-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, details hereyesyesyes
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 SQLnoSQL-like query language (GQL)noSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
RESTful HTTP/JSON 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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesusing Google App Enginenoyes infouser defined functions and integration of map-reduceyes infoWarpScript
Triggersyes infovia eventsCallbacks using the Google Apps Engineyes 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 using Paxosselectable 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 Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnonono
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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More resources
BaseXGoogle Cloud DatastoreHawkular MetricsHiveWarp 10
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