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DBMS > GridGain vs. Hawkular Metrics vs. HEAVY.AI vs. Riak KV

System Properties Comparison GridGain vs. Hawkular Metrics vs. HEAVY.AI vs. Riak KV

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, fault tolerant key-value store
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.gridgain.comwww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aiwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGridGain Systems, Inc.Community supported by Red HatHEAVY.AI, Inc.OpenSource, formerly Basho Technologies
Initial release2007201420162009
Current releaseGridGain 8.5.15.10, January 20223.2.0, December 2022
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLJavaC++ and CUDAErlang
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
LinuxLinux
OS X
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnonorestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
Thrift
Vega
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoErlang
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoRound robinSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandraMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
nofine grained access rights according to SQL-standardyes, using Riak Security

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More resources
GridGainHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Riak KV
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