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DBMS > Elasticsearch vs. EXASOL vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison Elasticsearch vs. EXASOL vs. Oracle Berkeley DB vs. OrigoDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Widely used in-process key-value storeA fully ACID in-memory object graph database
Primary database modelSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchwww.exasol.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docs
DeveloperElasticExasolOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release2010200019942009 infounder the name LiveDB
Current release8.6, January 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collections
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.nonoyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NET
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresyesuser defined functionsnoyes
Triggersyes infoby using the 'percolation' featureyesyes infoonly for the SQL APIyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoHadoop integrationnono
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 integritynoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoRole based authorization

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More resources
ElasticsearchEXASOLOracle Berkeley DBOrigoDB
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