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DBMS > Graph Engine vs. Graphite vs. HEAVY.AI vs. SQL.JS vs. TDengine

System Properties Comparison Graph Engine vs. Graphite vs. HEAVY.AI vs. SQL.JS vs. TDengine

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphite  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSQL.JS  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePort of SQLite to JavaScriptTime Series DBMS and big data platform
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.graphengine.iogithub.com/­graphite-project/­graphite-webgithub.com/­heavyai/­heavydb
www.heavy.ai
sql.js.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.graphengine.io/­docs/­manualgraphite.readthedocs.iodocs.heavy.aisql.js.org/­documentation/­index.htmldocs.tdengine.com
DeveloperMicrosoftChris DavisHEAVY.AI, Inc.Alon Zakai infoenhancements implemented by othersTDEngine, previously Taos Data
Initial release20102006201620122019
Current release5.10, January 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoAGPL V3, also commercial editions available
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 language.NET and CPythonC++ and CUDAJavaScriptC
Server operating systems.NETLinux
Unix
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.nonononono
Secondary indexesnonono
SQL infoSupport of SQLnonoyesyes infoSQL-92 is not fully supportedStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
JDBC
ODBC
Thrift
Vega
JavaScript APIJDBC
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnononono
Triggersnonononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityGraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SQL.JSTDengine
Specific characteristicsTDengine™ 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...
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More resources
Graph Engine infoformer name: TrinityGraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SQL.JSTDengine
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