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DBMS > Databricks vs. GridGain vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL

System Properties Comparison Databricks vs. GridGain vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGridGain  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle NoSQL  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 IgniteIn-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Document storeRelational DBMSDocument store
Key-value store
Relational 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
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitewww.databricks.comwww.gridgain.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.databricks.comwww.gridgain.com/­docs/­index.htmltechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperDatabricksGridGain Systems, Inc.MicrosoftOracle
Initial release20132007201419922011
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 201923.3, December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaScriptC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
Solaris SPARC/x86
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesnoyesoptional
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 indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)nonenoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infooff heap cache
User concepts infoAccess controlSecurity Hooks for custom implementationsnono infoa simple user-level security was built in till version Access 2003Access rights for users and roles
More information provided by the system vendor
DatabricksGridGainLokiJSMicrosoft AccessOracle NoSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGridGainLokiJSMicrosoft AccessOracle NoSQL
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