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DBMS > GridGain vs. Hawkular Metrics vs. MySQL vs. PostgreSQL vs. YottaDB

System Properties Comparison GridGain vs. Hawkular Metrics vs. MySQL vs. PostgreSQL vs. YottaDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYottaDB  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.Widely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA fast and solid embedded Key-value store
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.gridgain.comwww.hawkular.orgwww.mysql.comwww.postgresql.orgyottadb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedev.mysql.com/­docwww.postgresql.org/­docsyottadb.com/­resources/­documentation
DeveloperGridGain Systems, Inc.Community supported by Red HatOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerYottaDB, LLC
Initial release2007201419951989 info1989: Postgres, 1996: PostgreSQL2001
Current releaseGridGain 8.5.18.4.0, April 202416.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC and C++CC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
Data schemeyesschema-freeyesyesschema-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.yesnoyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infowith proprietary extensionsyes infostandard with numerous extensionsby using the Octo plugin
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesnoyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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GridGainHawkular MetricsMySQLPostgreSQLYottaDB
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