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DBMS > HEAVY.AI vs. HugeGraph vs. Kinetica vs. TDengine vs. WakandaDB

System Properties Comparison HEAVY.AI vs. HugeGraph vs. Kinetica vs. TDengine vs. WakandaDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
www.kinetica.comgithub.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationdocs.heavy.aihugegraph.apache.org/­docsdocs.kinetica.comdocs.tdengine.comwakanda.github.io/­doc
DeveloperHEAVY.AI, Inc.BaiduKineticaTDEngine, previously Taos DataWakanda SAS
Initial release20162018201220192012
Current release5.10, January 20220.97.1, August 20213.0, August 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license 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 languageC++ and CUDAJavaC, C++CC++, JavaScript
Server operating systemsLinuxLinux
macOS
Unix
LinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsnoyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users and roles on table levelyesyes
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphKineticaTDengineWakandaDB
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 2022HugeGraphKineticaTDengineWakandaDB
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