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DBMS > BigchainDB vs. Drizzle vs. MonetDB vs. RavenDB

System Properties Comparison BigchainDB vs. Drizzle vs. MonetDB vs. RavenDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  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 assetsMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitewww.bigchaindb.comwww.monetdb.orgravendb.net
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.monetdb.org/­Documentationravendb.net/­docs
DeveloperDrizzle project, originally started by Brian AkerMonetDB BVHibernating Rhinos
Initial release2016200820042010
Current release7.2.4, September 2012Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGNU GPLOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++CC#
Server operating systemsLinuxFreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infoSQL 2003 with some extensionsSQL-like query language (RQL)
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryes
Triggersno infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
BigchainDBDrizzleMonetDBRavenDB
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