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DBMS > BigchainDB vs. Oracle Berkeley DB vs. Stardog vs. Warp 10

System Properties Comparison BigchainDB vs. Oracle Berkeley DB vs. Stardog vs. Warp 10

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonStardog  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWidely used in-process key-value storeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.bigchaindb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.stardog.comwww.warp10.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.stardog.comwww.warp10.io/­content/­02_Getting_started
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleStardog-UnionSenX
Initial release2016199420102015
Current release18.1.40, May 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infocommercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC, Java, C++ (depending on the Berkeley DB edition)JavaJava
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datenonoyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsCLI Client
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javayes infoWarpScript
Triggersyes infoonly for the SQL APIyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication in HA-Clusterselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesnoAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigchainDBOracle Berkeley DBStardogWarp 10
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