DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Heroic vs. PostGIS vs. QuestDB vs. RocksDB

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

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 comparisonRocksDB  Xexclude from comparison
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 dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSSpatial DBMSTime Series DBMSKey-value store
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
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitegithub.com/­spotify/­heroicpostgis.netquestdb.iorocksdb.org
Technical documentationspotify.github.io/­heroicpostgis.net/­documentationquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperSpotifyQuestDB Technology IncFacebook, Inc.
Initial release2014200520142013
Current release3.4.2, February 20249.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL v2.0Open 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 languageJavaCJava (Zero-GC), C++, RustC++
Server operating systemsLinux
macOS
Windows
Linux
Data schemeschema-freeyesyes 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.noyesnono
Secondary indexesyes infovia Elasticsearchyesnono
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
C++ API
Java API
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLhorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLSource-replica replication with eventual consistencyyes
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 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.nonoyes infothrough memory mapped filesyes
User concepts infoAccess controlyes infobased on PostgreSQLno
More information provided by the system vendor
HeroicPostGISQuestDBRocksDB
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
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
HeroicPostGISQuestDBRocksDB
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

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

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

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

Facebook's MyRocks Truly Rocks!
21 September 2020, Open Source For You

The Journey to a Million Ops / Sec / Node in Venice
16 March 2024, InfoQ.com

provided by Google News



Share this page

Featured Products

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.

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

Present your product here