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DBMS > OpenQM vs. QuestDB vs. ReductStore vs. Riak KV

System Properties Comparison OpenQM vs. QuestDB vs. ReductStore vs. Riak KV

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonQuestDB  Xexclude from comparisonReductStore  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA high performance open source SQL database for time series dataDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Distributed, fault tolerant key-value store
Primary database modelMultivalue DBMSTime Series DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquestdb.iogithub.com/­reductstore
www.reduct.store
Technical documentationquestdb.io/­docswww.reduct.store/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRocket Software, originally Martin PhillipsQuestDB Technology IncReductStore LLCOpenSource, formerly Basho Technologies
Initial release1993201420232009
Current release3.4-121.9, March 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava (Zero-GC), C++, RustC++, RustErlang
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Data schemeyes infowith some exceptionsyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesno
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.yesnono
Secondary indexesyesnorestricted
SQL infoSupport of SQLnoSQL with time-series extensionsno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoErlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by timestamps)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
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.yes infothrough memory mapped files
User concepts infoAccess controlAccess rights can be defined down to the item levelyes, using Riak Security
More information provided by the system vendor
OpenQM infoalso called QMQuestDBReductStoreRiak KV
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More resources
OpenQM infoalso called QMQuestDBReductStoreRiak KV
Recent citations in the news

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

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

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

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News

Basho Revamps Riak Open-Source Database
22 September 2023, InformationWeek

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
26 August 2018, InfoQ.com

Riak NoSQL snapped up by Bet365
12 September 2017, ComputerWeekly.com

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, AIM

Basho aims for enterprise operational simplicity with new Data Platform
26 May 2015, diginomica

provided by Google News



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