DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > IRONdb vs. QuestDB vs. Spark SQL

System Properties Comparison IRONdb vs. QuestDB vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Score0.71
Rank#206  Overall
#14  Time Series DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Websitewww.circonus.com/­solutions/­time-series-databasequestdb.iospark.apache.org/­sql
Technical documentationdocs.circonus.com/­irondbquestdb.io/­docs/­introductionspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCirconus LLC.QuestDB LimitedApache Software Foundation
Initial release201720142014
Current releaseV0.10.20, January 20183.1.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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.
Implementation languageC and C++JavaScala
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes, in Luanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID 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.noyes infothrough memory mapped filesno
User concepts infoAccess controlnono
More information provided by the system vendor
IRONdbQuestDBSpark SQL
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

Demo geospatial and timeseries queries on 250k unique devices
4 October 2021

Join Hacktoberfest 2021 and contribute to QuestDB!
1 October 2021

High frequency finance with Julia and QuestDB
17 September 2021

QuestDB 6.0.5 September release, geospatial support
13 September 2021

Launch a QuestDB droplet in 1-click via the DigitalOcean marketplace
24 August 2021

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 partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
IRONdbQuestDBSpark SQL
Recent citations in the news

Bob Moul's latest gig is leading data intelligence company Circonus
30 October 2019, Technical.ly

Circonus extends powerful full-stack observability for edge computing, 5G applications, and IoT deployments | State
8 September 2021, Pennsylvanianewstoday.com

On the Radar: COVID-19, Circonus, and Fake FB Accounts
4 March 2020, Datanami

provided by Google News

QuestDB has built a lightning fast time series database. Can it build a business to match?
16 February 2021, TechRepublic

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

Altinity grabs $4M seed to build cloud version of ClickHouse open-source data warehouse
1 October 2020, TechCrunch

Open-source growth and venture capital investment: Data, databases, challenges, and opportunities
7 July 2021, ZDNet

provided by Google News

Online workshop: Scalable data science with Python and Spark
12 October 2021, Market Research Telecast

Here is Everything You Need to Know About Big Data Tester
12 October 2021, Analytics Insight

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

Analytics Chip Startup Speedata Emerges from Stealth
30 September 2021, Datanami

Top Data Engineering Bootcamps to Attend in 2021
10 October 2021, Analytics Insight

provided by Google News

Job opportunities

Staff Software Engineer
WarnerMedia, Seattle, WA

Data Engineer
Infipact, Remote

Data Solutions Architect
Rite software, Remote

Python & SQL Data Engineer - Remote
Tier2Tek, Remote

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

Machine Learning Engineer
iHeartMedia, Inc., New York, NY

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Present your product here