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DBMS > Amazon Neptune vs. LeanXcale vs. LMDB vs. Oracle Berkeley DB vs. SiteWhere

System Properties Comparison Amazon Neptune vs. LeanXcale vs. LMDB vs. Oracle Berkeley DB vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonLeanXcale  Xexclude from comparisonLMDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA high performant, light-weight, embedded key-value database libraryWidely used in-process key-value storeM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Key-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.leanxcale.comwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.lmdb.tech/­docdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperAmazonLeanXcaleSymasOracle infooriginally developed by Sleepycat, which was acquired by OracleSiteWhere
Initial release20172015201119942010
Current release0.9.32, January 202418.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infocommercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedLinux
Unix
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnonoyesno
SQL infoSupport of SQLnoyes infothrough Apache Derbynoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.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
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infobased on HBase
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.noneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.yesyesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonoUsers with fine-grained authorization concept

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More resources
Amazon NeptuneLeanXcaleLMDBOracle Berkeley DBSiteWhere
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