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DBMS > Databricks vs. Elasticsearch vs. GridGain vs. Microsoft Access vs. OpenEdge

System Properties Comparison Databricks vs. Elasticsearch vs. GridGain vs. Microsoft Access vs. OpenEdge

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenEdge  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft 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.)Application development environment with integrated database management system
Primary database modelDocument store
Relational DBMS
Search engineKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector 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
Score135.35
Rank#7  Overall
#1  Search engines
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitewww.databricks.comwww.elastic.co/­elasticsearchwww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.progress.com/­openedge
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDatabricksElasticGridGain Systems, Inc.MicrosoftProgress Software Corporation
Initial release20132010200719921984
Current release8.6, January 2023GridGain 8.5.11902 (16.0.11328.20222), March 2019OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardyes infoclose to SQL 92
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineyes
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noMemcached and Redis integrationyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Users and groups
More information provided by the system vendor
DatabricksElasticsearchGridGainMicrosoft AccessOpenEdge
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksElasticsearchGridGainMicrosoft AccessOpenEdge
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