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DBMS > MonetDB vs. Netezza vs. QuestDB vs. RocksDB

System Properties Comparison MonetDB vs. Netezza vs. QuestDB vs. RocksDB

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitewww.monetdb.orgwww.ibm.com/­products/­netezzaquestdb.iorocksdb.org
Technical documentationwww.monetdb.org/­Documentationquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperMonetDB BVIBMQuestDB Technology IncFacebook, Inc.
Initial release2004200020142013
Current releaseDec2023 (11.49), December 20238.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache 2.0Open Source infoBSD
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 languageCJava (Zero-GC), C++, RustC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
macOS
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnono
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyesSQL with time-series extensionsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno
More information provided by the system vendor
MonetDBNetezza infoAlso called PureData System for Analytics by IBMQuestDBRocksDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

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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.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MonetDBNetezza infoAlso called PureData System for Analytics by IBMQuestDBRocksDB
Recent citations in the news

In 2024 the MonetDB Foundation was established for the preservation, maintenance and further development of the ...
31 January 2024, Centrum Wiskunde & Informatica (CWI)

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R - Part I - DataScienceCentral.com
6 April 2018, Data Science Central

How MonetDB Exploits Modern CPU Performance | by Dwi Prasetyo Adi Nugroho
14 January 2020, Towards Data Science

Monet DB The Column-Store Pioneer - open source for you
4 September 2019, Open Source For You

provided by Google News

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

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AWS Marketplace: QuestDB Cloud Comments
22 February 2024, AWS Blog

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

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Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
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