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DBMS > HEAVY.AI vs. QuestDB vs. Splice Machine vs. Warp 10

System Properties Comparison HEAVY.AI vs. QuestDB vs. Splice Machine vs. Warp 10

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA 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 dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
questdb.iosplicemachine.comwww.warp10.io
Technical documentationdocs.heavy.aiquestdb.io/­docssplicemachine.com/­how-it-workswww.warp10.io/­content/­02_Getting_started
DeveloperHEAVY.AI, Inc.QuestDB Technology IncSplice MachineSenX
Initial release2016201420142015
Current release5.10, January 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache License 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++ and CUDAJava (Zero-GC), C++, RustJavaJava
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesschema-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.nonono
Secondary indexesnonoyesno
SQL infoSupport of SQLyesSQL with time-series extensionsyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJavayes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBSplice MachineWarp 10
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBSplice MachineWarp 10
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