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DBMS > GridGain vs. Hawkular Metrics vs. Microsoft Access vs. Realm vs. TigerGraph

System Properties Comparison GridGain vs. Hawkular Metrics vs. Microsoft Access vs. Realm vs. TigerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparisonTigerGraph  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument storeGraph DBMS
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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.gridgain.comwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.iowww.tigergraph.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accessrealm.io/­docsdocs.tigergraph.com
DeveloperGridGain Systems, Inc.Community supported by Red HatMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20072014199220142017
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Sourcecommercial
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 languageJava, C++, .NetJavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeyesschema-freeyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standardnoSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
DAO
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmno
User concepts infoAccess controlSecurity Hooks for custom implementationsnono infoa simple user-level security was built in till version Access 2003yesRole-based access control

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More resources
GridGainHawkular MetricsMicrosoft AccessRealmTigerGraph
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