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DBMS > Geode vs. HEAVY.AI vs. Linter vs. TDengine vs. TerarkDB

System Properties Comparison Geode vs. HEAVY.AI vs. Linter vs. TDengine vs. TerarkDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLinter  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareRDBMS for high security requirementsTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegeode.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
linter.rugithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdb
Technical documentationgeode.apache.org/­docsdocs.heavy.aidocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HEAVY.AI, Inc.relex.ruTDEngine, previously Taos DataByteDance, originally Terark
Initial release20022016199020192016
Current release1.1, February 20175.10, January 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version 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 languageJavaC++ and CUDAC and C++CC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnonoyesnono
SQL infoSupport of SQLSQL-like query language (OQL)yesyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersyes infoCache Event Listenersnoyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDno
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.yesyesyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
GeodeHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LinterTDengineTerarkDB
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...
» more
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GeodeHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LinterTDengineTerarkDB
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