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DBMS > Elasticsearch vs. Microsoft Azure SQL Database vs. Oracle Berkeley DB vs. VelocityDB

System Properties Comparison Elasticsearch vs. Microsoft Azure SQL Database vs. Oracle Berkeley DB vs. VelocityDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVelocityDB  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 metricDatabase as a Service offering with high compatibility to Microsoft SQL ServerWidely used in-process key-value storeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlvelocitydb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvelocitydb.com/­UserGuide
DeveloperElasticMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleVelocityDB Inc
Initial release2010201019942011
Current release8.6, January 2023V1218.1.40, May 20207.x
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsAll OS with a Java VMhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Any that supports .NET
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
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
ADO.NET
JDBC
ODBC
.Net
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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 proceduresyesTransact SQLnono
Triggersyes infoby using the 'percolation' featureyesyes infoonly for the SQL APICallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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 integritynoyesnono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoBased on Windows Authentication

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More resources
ElasticsearchMicrosoft Azure SQL Database infoformerly SQL AzureOracle Berkeley DBVelocityDB
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