DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Heroic vs. PostGIS vs. QuestDB vs. TempoIQ

System Properties Comparison Heroic vs. PostGIS vs. QuestDB vs. TempoIQ

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonPostGIS  Xexclude from comparisonQuestDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpatial extension of PostgreSQLA high performance open source SQL database for time series dataScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMSSpatial DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitegithub.com/­spotify/­heroicpostgis.netquestdb.iotempoiq.com (offline)
Technical documentationspotify.github.io/­heroicpostgis.net/­documentationquestdb.io/­docs
DeveloperSpotifyQuestDB Technology IncTempoIQ
Initial release2014200520142012
Current release3.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava (Zero-GC), C++, Rust
Server operating systemsLinux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoyesSQL with time-series extensionsno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesno
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.nonoyes infothrough memory mapped filesno
User concepts infoAccess controlyes infobased on PostgreSQLsimple authentication-based access control
More information provided by the system vendor
HeroicPostGISQuestDBTempoIQ infoformerly TempoDB
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

QuestDB 8.0: Major Release
23 May 2024

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
8 May 2024

Build your own resource monitor with QuestDB and Grafana
6 May 2024

Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To
12 April 2024

Create an ADS-B flight radar with QuestDB and a Raspberry Pi
8 April 2024

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

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

More resources
HeroicPostGISQuestDBTempoIQ infoformerly TempoDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Kubernetes Annotations: Harnessing Power in Operator Development
30 November 2023, hackernoon.com

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

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

QuestDB Raises $12M in Series A Funding
8 November 2021, FinSMEs

Aquis Exchange goes live with QuestDB for real time monitoring
2 November 2022, FinanceFeeds

provided by Google News

Got big data? TempoIQ aims to point you to the insights in it - in the Chicago Tribune
10 July 2014, Built In Chicago

No-Code Internet of Things Development Platform
29 October 2015, Automation World

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

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

Present your product here