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DBMS > Bangdb vs. GigaSpaces vs. GridDB vs. Sadas Engine vs. Valentina Server

System Properties Comparison Bangdb vs. GigaSpaces vs. GridDB vs. Sadas Engine vs. Valentina Server

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitebangdb.comwww.gigaspaces.comgriddb.netwww.sadasengine.comwww.valentina-db.net
Technical documentationdocs.bangdb.comdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSachin Sinha, BangDBGigaspaces TechnologiesToshiba CorporationSADAS s.r.l.Paradigma Software
Initial release20122000201320061999
Current releaseBangDB 2.0, October 202115.5, September 20205.1, August 20228.05.7.5
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, C++, .NetC++C++
Server operating systemsLinuxLinux
macOS
Solaris
Windows
LinuxAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)yesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersyes, Notifications (with Streaming only)yes, event driven architectureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modeyesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlyes (enterprise version only)Role-based access controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbGigaSpacesGridDBSadas EngineValentina Server
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BangdbGigaSpacesGridDBSadas EngineValentina Server
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