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DBMS > BigchainDB vs. Informix vs. MonetDB vs. TimesTen

System Properties Comparison BigchainDB vs. Informix vs. MonetDB vs. TimesTen

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonInformix  Xexclude from comparisonMonetDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA relational database management system that stores data in columnsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS infowith Informix TimeSeries Extension
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#187  Overall
#29  Document stores
Score25.14
Rank#27  Overall
#16  Relational DBMS
Score1.81
Rank#117  Overall
#57  Relational DBMS
Score2.12
Rank#109  Overall
#53  Relational DBMS
Websitewww.bigchaindb.comwww.ibm.com/­products/­informixwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.monetdb.org/­Documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MonetDB BVOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016198420041998
Current release14.10.FC3, December 2019Nov2019-SP1, December 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infofree developer edition availableOpen Source infoMozilla Public License 2.0commercial
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 languagePythonC, C++ and JavaC
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyes, in SQL, C, RPL/SQL
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication
Master-slave replication
none infoMaster-slave replication available in experimental statusMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBInformixMonetDBTimesTen
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigchainDBInformixMonetDBTimesTen
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