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DBMS > HugeGraph vs. LeanXcale vs. Oracle Berkeley DB vs. Riak KV

System Properties Comparison HugeGraph vs. LeanXcale vs. Oracle Berkeley DB vs. Riak KV

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesWidely used in-process key-value storeDistributed, fault tolerant key-value store
Primary database modelGraph DBMSKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.leanxcale.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBaiduLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by OracleOpenSource, formerly Basho Technologies
Initial release2018201519942009
Current release0.918.1.40, May 20203.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infocommercial license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)Erlang
Server operating systemsLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLnoyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Native Erlang Interface
Supported programming languagesGroovy
Java
Python
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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoErlang
Triggersnoyes infoonly for the SQL APIyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnono infolinks between data sets can be stored
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsnoyes, using Riak Security

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More resources
HugeGraphLeanXcaleOracle Berkeley DBRiak KV
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