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DBMS > Brytlyt vs. HEAVY.AI vs. QuestDB vs. Teradata Aster vs. VictoriaMetrics

System Properties Comparison Brytlyt vs. HEAVY.AI vs. QuestDB vs. Teradata Aster vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuestDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high performance open source SQL database for time series dataPlatform for big data analytics on multistructured data sources and typesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitebrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
questdb.iovictoriametrics.com
Technical documentationdocs.brytlyt.iodocs.heavy.aiquestdb.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBrytlytHEAVY.AI, Inc.QuestDB Technology IncTeradataVictoriaMetrics
Initial release20162016201420052018
Current release5.0, August 20235.10, January 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ and CUDAJava (Zero-GC), C++, RustGo
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes infoschema-free via InfluxDB Line ProtocolFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.yes infospecific XML-type available, but no XML query functionality.nonoyes infoin Aster File Storeno
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesyesSQL with time-series extensionsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoR packagesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replication with eventual consistencyyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 infothrough memory mapped filesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBTeradata AsterVictoriaMetrics
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
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBTeradata AsterVictoriaMetrics
Recent citations in the news

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