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DBMS > Databricks vs. GridGain vs. InterSystems IRIS vs. Kyligence Enterprise

System Properties Comparison Databricks vs. GridGain vs. InterSystems IRIS vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
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.GridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitewww.databricks.comwww.gridgain.comwww.intersystems.com/­products/­intersystems-iriskyligence.io/­kyligence-enterprise
Technical documentationdocs.databricks.comwww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperDatabricksGridGain Systems, Inc.InterSystemsKyligence, Inc.
Initial release2013200720182016
Current releaseGridGain 8.5.12023.3, June 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLyesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsyes
More information provided by the system vendor
DatabricksGridGainInterSystems IRISKyligence Enterprise
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

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DatabricksGridGainInterSystems IRISKyligence Enterprise
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