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DBMS > Elasticsearch vs. LevelDB vs. Microsoft Access

System Properties Comparison Elasticsearch vs. LevelDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  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 metricEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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.)
Primary database modelSearch engineKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score151.44
Rank#7  Overall
#1  Search engines
Score2.86
Rank#89  Overall
#15  Key-value stores
Score128.58
Rank#9  Overall
#6  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchgithub.com/­google/­leveldbproducts.office.com/­en-us/­access
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperElasticGoogleMicrosoft
Initial release201020111992
Current release7.3.0, August 20191.22, May 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoBSDcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut not compliant to any SQL standard
APIs and other access methodsJava API
RESTful HTTP/JSON API
C++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes infosince Access 2010 using the ACE-engine
Triggersyes infoby using the 'percolation' featurenoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
ElasticsearchLevelDBMicrosoft Access
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Key customers
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchLevelDBMicrosoft Access
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