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DBMS > GigaSpaces vs. IBM Db2 Event Store vs. Microsoft Access vs. Realm

System Properties Comparison GigaSpaces vs. IBM Db2 Event Store vs. Microsoft Access vs. Realm

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed Event Store optimized for Internet of Things use casesMicrosoft 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 Data
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Event Store
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accessrealm.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessrealm.io/­docs
DeveloperGigaspaces TechnologiesIBMMicrosoftRealm, acquired by MongoDB in May 2019
Initial release2000201719922014
Current release15.5, September 20202.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesyesyes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessary
Triggersyes, event driven architecturenoyes infosince Access 2010 using the ACE-engineyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Active-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realm
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes

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More resources
GigaSpacesIBM Db2 Event StoreMicrosoft AccessRealm
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