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DBMS > Amazon Neptune vs. LeanXcale vs. Oracle Berkeley DB vs. Pinecone vs. PouchDB

System Properties Comparison Amazon Neptune vs. LeanXcale vs. Oracle Berkeley DB vs. Pinecone vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesWidely used in-process key-value storeA managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMSDocument 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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­neptunewww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.pinecone.iopouchdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.pinecone.io/­docs/­overviewpouchdb.com/­guides
DeveloperAmazonLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by OraclePinecone Systems, IncApache Software Foundation
Initial release20172015199420192012
Current release18.1.40, May 20207.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)JavaScript
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanno
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 indexesnoyesyes infovia views
SQL infoSupport of SQLnoyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
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
PythonJavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScript
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infowith a proxy-based framework, named couchdb-lounge
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 replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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More resources
Amazon NeptuneLeanXcaleOracle Berkeley DBPineconePouchDB
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