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DBMS > BigchainDB vs. Memcached vs. RavenDB vs. VoltDB

System Properties Comparison BigchainDB vs. Memcached vs. RavenDB vs. VoltDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMemcached  Xexclude from comparisonRavenDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsIn-memory key-value store, originally intended for cachingOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeKey-value storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.bigchaindb.comwww.memcached.orgravendb.netwww.voltdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestgithub.com/­memcached/­memcached/­wikiravendb.net/­docsdocs.voltdb.com
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHibernating RhinosVoltDB Inc.
Initial release2016200320102010
Current release1.6.27, May 20245.4, July 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoBSD licenseOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC#Java, C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenononoyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)yes infoonly a subset of SQL 99
APIs and other access methodsCLI Client
RESTful HTTP API
Proprietary protocol.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesJava
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallityMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDBnoyesyes infoSnapshots and command logging
User concepts infoAccess controlyesyes infousing SASL (Simple Authentication and Security Layer) protocolAuthorization levels configured per client per databaseUsers and roles with access to stored procedures

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More resources
BigchainDBMemcachedRavenDBVoltDB
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