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DBMS > Elasticsearch vs. GridGain vs. Microsoft Access vs. RavenDB vs. SWC-DB

System Properties Comparison Elasticsearch vs. GridGain vs. Microsoft Access vs. RavenDB vs. SWC-DB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA 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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSDocument storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.elastic.co/­elasticsearchwww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessravendb.net/­docs
DeveloperElasticGridGain Systems, Inc.MicrosoftHibernating RhinosAlex Kashirin
Initial release20102007199220102020
Current release8.6, January 2023GridGain 8.5.11902 (16.0.11328.20222), March 20195.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++C#C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-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.noyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languages.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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineyesno
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per database

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More resources
ElasticsearchGridGainMicrosoft AccessRavenDBSWC-DB infoSuper Wide Column Database
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