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DBMS > BigchainDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. VoltDB

System Properties Comparison BigchainDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. VoltDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsDistributed 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 storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitewww.bigchaindb.comwww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­storage/­tableswww.voltdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.progress.com/­marklogic/­documentationdocs.voltdb.com
DeveloperMarkLogic Corp.MicrosoftVoltDB Inc.
Initial release2016200120122010
Current release11.0, December 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial inforestricted free version is availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++Java, C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X infofor development
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyes infoSQL92noyes infoonly a subset of SQL 99
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoJava
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACID 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 RethinkDByesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesno
User concepts infoAccess controlyesRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesUsers and roles with access to stored procedures

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More resources
BigchainDBMarkLogicMicrosoft Azure Table StorageVoltDB
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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