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DBMS > Databricks vs. GeoSpock vs. Hawkular Metrics vs. Quasardb vs. TimesTen

System Properties Comparison Databricks vs. GeoSpock vs. Hawkular Metrics vs. Quasardb vs. TimesTen

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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.Distributed, high-performance timeseries databaseIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.databricks.comgeospock.comwww.hawkular.orgquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksGeoSpockCommunity supported by Red HatquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013201420091998
Current release2.0, September 20193.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++
Server operating systemshostedhostedLinux
OS X
Windows
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnononono
Secondary indexesyestemporal, categoricalnoyes infowith tagsyes
SQL infoSupport of SQLwith Databricks SQLANSI SQL for query only (using Presto)noSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP RESTHTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononoPL/SQL
Triggersnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on CassandraSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGeoSpockHawkular MetricsQuasardbTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGeoSpockHawkular MetricsQuasardbTimesTen
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