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DBMS > Elasticsearch vs. Oracle Berkeley DB vs. Transbase vs. WakandaDB

System Properties Comparison Elasticsearch vs. Oracle Berkeley DB vs. Transbase vs. WakandaDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparisonWakandaDB  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 metricWidely used in-process key-value storeA resource-optimized, high-performance, universally applicable RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.htmlwakanda.github.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlwakanda.github.io/­doc
DeveloperElasticOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbHWakanda SAS
Initial release2010199419872012
Current release8.6, January 202318.1.40, May 2020Transbase 8.3, 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infocommercial license availablecommercial infofree development licenseOpen Source infoAGPLv3, extended commercial license available
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 and C++C++, JavaScript
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availableyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
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#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyes infoby using the 'percolation' featureyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
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 integrationyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
ElasticsearchOracle Berkeley DBTransbaseWakandaDB
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