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DBMS > 4D vs. GeoSpock vs. Hawkular Metrics vs. XTDB

System Properties Comparison 4D vs. GeoSpock vs. Hawkular Metrics vs. XTDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemSpatial 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.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.4d.comgeospock.comwww.hawkular.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdeveloper.4d.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.xtdb.com/­docs
Developer4D, IncGeoSpockCommunity supported by Red HatJuxt Ltd.
Initial release198420142019
Current releasev20, April 20232.0, September 20191.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaClojure
Server operating systemsOS X
Windows
hostedLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL for query only (using Presto)nolimited SQL, making use of Apache Calcite
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCHTTP RESTHTTP REST
JDBC
Supported programming languages4D proprietary IDE
PHP
Go
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyesnonono
Triggersyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on Cassandrayes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per tableno

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More resources
4D infoformer name: 4th DimensionGeoSpockHawkular MetricsXTDB infoformerly named Crux
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