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DBMS > BigchainDB vs. Datomic vs. Drizzle vs. Oracle Berkeley DB

System Properties Comparison BigchainDB vs. Datomic vs. Drizzle vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used in-process key-value store
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.bigchaindb.comwww.datomic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectDrizzle project, originally started by Brian AkerOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201220081994
Current release1.0.6735, June 20237.2.4, September 201218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freeOpen Source infoGNU GPLOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, ClojureC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 edition
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIJDBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
C
C++
Java
PHP
.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 proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlyesnoPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
BigchainDBDatomicDrizzleOracle Berkeley DB
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