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DBMS > HEAVY.AI vs. NuoDB vs. QuestDB vs. TimescaleDB vs. Yanza

System Properties Comparison HEAVY.AI vs. NuoDB vs. QuestDB vs. TimescaleDB vs. Yanza

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNuoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareNuoDB is a webscale distributed database that supports SQL and ACID transactionsA high performance open source SQL database for time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.3ds.com/­nuodb-distributed-sql-databasequestdb.iowww.timescale.comyanza.com
Technical documentationdocs.heavy.aidoc.nuodb.comquestdb.io/­docsdocs.timescale.com
DeveloperHEAVY.AI, Inc.Dassault Systèmes infooriginally NuoDB, Inc.QuestDB Technology IncTimescaleYanza
Initial release20162013201420172015
Current release5.10, January 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++Java (Zero-GC), C++, RustC
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nononoyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLyesyesSQL with time-series extensionsyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoJava, SQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robindata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by timestamps)yes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoManaged transparently by NuoDBSource-replica replication with eventual consistencySource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardno
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NuoDBQuestDBTimescaleDBYanza
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
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NuoDBQuestDBTimescaleDBYanza
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