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DBMS > Bangdb vs. HEAVY.AI vs. MariaDB vs. QuestDB

System Properties Comparison Bangdb vs. HEAVY.AI vs. MariaDB vs. QuestDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMariaDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A high performance open source SQL database for time series data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitebangdb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
mariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
questdb.io
Technical documentationdocs.bangdb.comdocs.heavy.aimariadb.com/­kb/­en/­libraryquestdb.io/­docs
DeveloperSachin Sinha, BangDBHEAVY.AI, Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
QuestDB Technology Inc
Initial release201220162009 infoFork of MySQL, which was first released in 19952014
Current releaseBangDB 2.0, October 20215.10, January 202211.3.2, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache 2.0
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 languageC, C++C++ and CUDAC and C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxLinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS
Windows
Data schemeschema-freeyesyes infoDynamic columns are supportedyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLSQL like support with command line toolyesyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoyes infoPL/SQL compatibility added with version 10.3no
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoRound robinseveral options for horizontal partitioning and Shardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infowith MEMORY storage engineyes infothrough memory mapped files
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MariaDBQuestDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MariaDBQuestDB
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