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DBMS > Databricks vs. GridGain vs. HEAVY.AI vs. IBM Cloudant

System Properties Comparison Databricks vs. GridGain vs. HEAVY.AI vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Cloudant  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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDatabase as a Service offering based on Apache CouchDB
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websitewww.databricks.comwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­cloudant
Technical documentationdocs.databricks.comwww.gridgain.com/­docs/­index.htmldocs.heavy.aicloud.ibm.com/­docs/­Cloudant
DeveloperDatabricksGridGain Systems, Inc.HEAVY.AI, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2013200720162010
Current releaseGridGain 8.5.15.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++ and CUDAErlang
Server operating systemshostedLinux
OS X
Solaris
Windows
Linuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)noView functions (Map-Reduce) in JavaScript
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replicationMulti-source replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
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 implementationsfine grained access rights according to SQL-standardAccess rights for users can be defined per database
More information provided by the system vendor
DatabricksGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Cloudant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Cloudant
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