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DBMS > Amazon Neptune vs. LeanXcale vs. OpenTenBase vs. Oracle Berkeley DB vs. YTsaurus

System Properties Comparison Amazon Neptune vs. LeanXcale vs. OpenTenBase vs. Oracle Berkeley DB vs. YTsaurus

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenTenBase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAn enterprise-level distributed HTAP open source database based on PostgreSQLWidely used in-process key-value storeYTsaurus is an open source platform for distributed storage and processing.
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteaws.amazon.com/­neptunewww.leanxcale.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlytsaurus.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.opentenbase.org
docs.opentenbase.org/­en
docs.oracle.com/­cd/­E17076_05/­html/­index.htmlytsaurus.tech/­docs/­en
DeveloperAmazonLeanXcaleOpenAtom Foundation, previously TencentOracle infooriginally developed by Sleepycat, which was acquired by OracleYandex
Initial release2017201519942023
Current release2.5, January 202418.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source infocommercial license availableOpen Source infoApache License, Version 2.0
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++
Server operating systemshostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Ubuntu
Data schemeschema-freeyesyesschema-free
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 infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infothrough Apache Derbyyesyes infoSQL interfaced based on SQLite is availableYQL, an SQL-based language, is supported
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Scala
C
Go
Java
PHP
Python
.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++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono
Triggersnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
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.yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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 dataACIDACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardnoAccess Control Lists

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More resources
Amazon NeptuneLeanXcaleOpenTenBaseOracle Berkeley DBYTsaurus
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