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DBMS > Elasticsearch vs. EsgynDB vs. Graph Engine vs. Microsoft Access vs. Yanza

System Properties Comparison Elasticsearch vs. EsgynDB vs. Graph Engine vs. Microsoft Access vs. Yanza

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMicrosoft 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.)Time Series DBMS for IoT Applications
Primary database modelSearch engineRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.esgyn.cnwww.graphengine.iowww.microsoft.com/­en-us/­microsoft-365/­accessyanza.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualdeveloper.microsoft.com/­en-us/­access
DeveloperElasticEsgynMicrosoftMicrosoftYanza
Initial release20102015201019922015
Current release8.6, January 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoMIT Licensecommercial infoBundled with Microsoft Officecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java.NET and CC++
Server operating systemsAll OS with a Java VMLinux.NETWindows infoNot a real database server, but making use of DLLsWindows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesJava Stored Proceduresyesyes infosince Access 2010 using the ACE-engineno
Triggersyes infoby using the 'percolation' featurenonoyes infosince Access 2010 using the ACE-engineyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes 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.Memcached and Redis integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
ElasticsearchEsgynDBGraph Engine infoformer name: TrinityMicrosoft AccessYanza
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Recent citations in the news

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