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DBMS > HEAVY.AI vs. RavenDB vs. SWC-DB vs. TDengine

System Properties Comparison HEAVY.AI vs. RavenDB vs. SWC-DB vs. TDengine

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument storeWide column storeTime Series DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
ravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.heavy.airavendb.net/­docsdocs.tdengine.com
DeveloperHEAVY.AI, Inc.Hibernating RhinosAlex KashirinTDEngine, previously Taos Data
Initial release2016201020202019
Current release5.10, January 20225.4, July 20220.5, April 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3Open Source infoAGPL V3, also commercial editions available
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 CUDAC#C++C
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
LinuxLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnoyesno
SQL infoSupport of SQLyesSQL-like query language (RQL)SQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction available
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseyes
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RavenDBSWC-DB infoSuper Wide Column DatabaseTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RavenDBSWC-DB infoSuper Wide Column DatabaseTDengine
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Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

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19 April 2023, Business Wire

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14 April 2023, InfoWorld

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16 February 2023, Datanami

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TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

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19 April 2023, Cloud Native Now

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