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DBMS > Amazon Neptune vs. FileMaker vs. LeanXcale vs. Oracle Berkeley DB vs. WakandaDB

System Properties Comparison Amazon Neptune vs. FileMaker vs. LeanXcale vs. Oracle Berkeley DB vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFileMaker  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFileMaker is a cross-platform RDBMS that includes a GUI frontend.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesWidely used in-process key-value storeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.claris.com/­filemakerwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwakanda.github.io
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.claris.com/­resources/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwakanda.github.io/­doc
DeveloperAmazonClaris infoa subsidiary of AppleLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by OracleWakanda SAS
Initial release20171983201519942012
Current release19.4.1, November 202118.1.40, May 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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)C++, JavaScript
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-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.noyes infoA http query request can return the data in XML formatyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infovia pluginsyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Filemaker WebDirect
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
PHPC
Java
Scala
.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
JavaScript
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replication, warm standby infosince Version 14Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accounts and connection to external directory servicesnoyes

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More resources
Amazon NeptuneFileMakerLeanXcaleOracle Berkeley DBWakandaDB
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