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DBMS > MonetDB vs. RavenDB vs. TimescaleDB

System Properties Comparison MonetDB vs. RavenDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeGraph DBMS infoexperimentalRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#125  Overall
#62  Relational DBMS
Score4.16
Rank#80  Overall
#14  Document stores
Score2.73
Rank#105  Overall
#6  Time Series DBMS
Websitewww.monetdb.orgravendb.netwww.timescale.com
Technical documentationwww.monetdb.org/­Documentationravendb.net/­docsdocs.timescale.com
DeveloperMonetDB BVHibernating RhinosTimescale
Initial release200420102017
Current releaseJun2020-SP1, July 20204.2, May 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageCC#C
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like query language (RQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control on document level using the Authorization Bundlefine grained access rights according to SQL-standard
More information provided by the system vendor
MonetDBRavenDBTimescaleDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
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More resources
MonetDBRavenDBTimescaleDB
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