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DBMS > Altibase vs. Badger vs. GridDB vs. InterSystems IRIS vs. YDB

System Properties Comparison Altibase vs. Badger vs. GridDB vs. InterSystems IRIS vs. YDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable in-memory time series database optimized for IoT and Big DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitealtibase.comgithub.com/­dgraph-io/­badgergriddb.netwww.intersystems.com/­products/­intersystems-irisgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgerdocs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsydb.tech/­en/­docs
DeveloperAltibaseDGraph LabsToshiba CorporationInterSystemsYandex
Initial release19992017201320182019
Current releasev7.3, 2023, August 20235.1, August 20222023.3, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0; commercial license available
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 languageC++GoC++
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesschema-freeyesdepending on used data modelFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyes 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.nononoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLANSI SQL-92noSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Java
GoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyesno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per databaseyesAccess rights defined for Yandex Cloud users
More information provided by the system vendor
AltibaseBadgerGridDBInterSystems IRISYDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AltibaseBadgerGridDBInterSystems IRISYDB
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