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

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

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonetcd  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  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 metricA distributed reliable key-value storeDatabase as a Service offering with high compatibility to Microsoft SQL ServerWidely used in-process key-value storeIn-Memory RDBMS compatible to Oracle
Primary database modelSearch engineKey-value storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational 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
Score132.83
Rank#7  Overall
#1  Search engines
Score7.03
Rank#54  Overall
#5  Key-value stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.elastic.co/­elasticsearchetcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.microsoft.com/­en-us/­azure/­azure-sqldocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperElasticMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2010201019941998
Current release8.6, January 20233.4, August 2019V1218.1.40, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoAll search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.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
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnoTransact SQLnoPL/SQL
Triggersyes infoby using the 'percolation' featureyes, watching key changesyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, with always 3 replicas availableSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
ElasticsearchetcdMicrosoft Azure SQL Database infoformerly SQL AzureOracle Berkeley DBTimesTen
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