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DBMS > Databricks vs. GeoSpock vs. GridGain vs. Hawkular Metrics vs. LokiJS

System Properties Comparison Databricks vs. GeoSpock vs. GridGain vs. Hawkular Metrics vs. LokiJS

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  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 scaleGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websitewww.databricks.comgeospock.comwww.gridgain.comwww.hawkular.orggithub.com/­techfort/­LokiJS
Technical documentationdocs.databricks.comwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJS
DeveloperDatabricksGeoSpockGridGain Systems, Inc.Community supported by Red Hat
Initial release2013200720142014
Current release2.0, September 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source
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, JavascriptJava, C++, .NetJavaJavaScript
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyesnono
Secondary indexesyestemporal, categoricalyesnoyes infovia views
SQL infoSupport of SQLwith Databricks SQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJavaScript API
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes (compute grid and cache interceptors can be used instead)noView functions in JavaScript
Triggersnoyes (cache interceptors and events)yes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsnono
More information provided by the system vendor
DatabricksGeoSpockGridGainHawkular MetricsLokiJS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoSpockGridGainHawkular MetricsLokiJS
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