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DBMS > Bangdb vs. GridGain vs. KairosDB vs. Microsoft Access

System Properties Comparison Bangdb vs. GridGain vs. KairosDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridGain  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphGridGain is an in-memory computing platform, built on Apache IgniteDistributed Time Series DBMS based on Cassandra or H2Microsoft 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.)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitebangdb.comwww.gridgain.comgithub.com/­kairosdb/­kairosdbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.bangdb.comwww.gridgain.com/­docs/­index.htmlkairosdb.github.iodeveloper.microsoft.com/­en-us/­access
DeveloperSachin Sinha, BangDBGridGain Systems, Inc.Microsoft
Initial release2012200720131992
Current releaseBangDB 2.0, October 2021GridGain 8.5.11.2.2, November 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercial, open sourceOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, C++, .Net, Python, REST, SQLJavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.noyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
HTTP REST
Telnet API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes infosince Access 2010 using the ACE-engine
Triggersyes, Notifications (with Streaming only)yes (cache interceptors and events)noyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)selectable replication factor infobased on Cassandranone
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 systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesno
User concepts infoAccess controlyes (enterprise version only)Role-based access control
Security Hooks for custom implementations
simple password-based access controlno infoa simple user-level security was built in till version Access 2003

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More resources
BangdbGridGainKairosDBMicrosoft Access
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