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DBMS > Amazon DocumentDB vs. MonetDB vs. RRDtool vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. MonetDB vs. RRDtool vs. TimesTen

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRRDtool  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA relational database management system that stores data in columnsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#183  Overall
#27  Document stores
Score1.71
Rank#120  Overall
#58  Relational DBMS
Score2.52
Rank#96  Overall
#5  Time Series DBMS
Score1.88
Rank#110  Overall
#52  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.monetdb.orgoss.oetiker.ch/­rrdtoolwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourceswww.monetdb.org/­Documentationoss.oetiker.ch/­rrdtool/­docdocs.oracle.com/­database/­timesten-18.1
DeveloperMonetDB BVTobias OetikerOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2019200419991998
Current releaseNov2019-SP1, December 20191.7.2, May 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
HP-UX
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
in-process shared library
Pipes
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes, in SQL, C, RnoPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoMaster-slave replication available in experimental statusnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlAccess rights for users and rolesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBMonetDBRRDtoolTimesTen
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
Amazon DocumentDBMonetDBRRDtoolTimesTen
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