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DBMS > Drizzle vs. GridGain vs. HEAVY.AI vs. Kinetica vs. TDengine

System Properties Comparison Drizzle vs. GridGain vs. HEAVY.AI vs. Kinetica vs. TDengine

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonTDengine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache IgniteA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsTime Series DBMS and big data platform
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.heavy.aidocs.kinetica.comdocs.tdengine.com
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.HEAVY.AI, Inc.KineticaTDEngine, previously Taos Data
Initial release20082007201620122019
Current release7.2.4, September 2012GridGain 8.5.15.10, January 20227.1, August 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen 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 languageC++Java, C++, .NetC++ and CUDAC, C++C
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
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.yesnonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLyesSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes
More information provided by the system vendor
DrizzleGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaTDengine
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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