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DBMS > AntDB vs. Oracle Berkeley DB vs. Solr vs. WakandaDB

System Properties Comparison AntDB vs. Oracle Berkeley DB vs. Solr vs. WakandaDB

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSolr  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleWidely used in-process key-value storeA widely used distributed, scalable search engine based on Apache LuceneWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engineObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsolr.apache.orgwakanda.github.io
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperAsiaInfo Technologies LimitedOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationWakanda SAS
Initial release199420062012
Current release18.1.40, May 20209.6.1, May 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoApache Version 2Open 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 languageC, Java, C++ (depending on the Berkeley DB edition)JavaC++, JavaScript
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes
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.yes infoonly with the Berkeley DB XML editionyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL2016 compliantyes infoSQL interfaced based on SQLite is availableSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.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
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoJava pluginsyes
Triggersyesyes infoonly for the SQL APIyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
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.yesyesyesno
User concepts infoAccess controlnoyesyes

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More resources
AntDBOracle Berkeley DBSolrWakandaDB
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