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DBMS > BoltDB vs. GridGain vs. HEAVY.AI vs. Kinetica

System Properties Comparison BoltDB vs. GridGain vs. HEAVY.AI vs. Kinetica

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAn embedded key-value store for Go.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 CPUs
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#34  Key-value stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.heavy.aidocs.kinetica.com
DeveloperGridGain Systems, Inc.HEAVY.AI, Inc.Kinetica
Initial release2013200720162012
Current releaseGridGain 8.5.15.10, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
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 languageGoJava, C++, .NetC++ and CUDAC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL-like DML and DDL statements
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nouser defined functions
Triggersnoyes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replicationSource-replica replication
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 systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
BoltDBGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kinetica
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