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DBMS > Altibase vs. Amazon DynamoDB vs. Badger vs. Google Cloud Firestore vs. InterSystems IRIS

System Properties Comparison Altibase vs. Amazon DynamoDB vs. Badger vs. Google Cloud Firestore vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHosted, scalable database service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitealtibase.comaws.amazon.com/­dynamodbgithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­firestorewww.intersystems.com/­products/­intersystems-iris
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­dynamodbgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­firestoredocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseAmazonDGraph LabsGoogleInterSystems
Initial release19992012201720172018
Current releasev7.3, 2023, August 20232023.3, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsAIX
HP-UX
Linux
hostedBSD
Linux
OS X
Solaris
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Data schemeyesschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92nononoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
GoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyes, Firebase Rules & Cloud Functionsyes
Triggersyesyes infoby integration with AWS Lambdanoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionnoyesACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes
More information provided by the system vendor
AltibaseAmazon DynamoDBBadgerGoogle Cloud FirestoreInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AltibaseAmazon DynamoDBBadgerGoogle Cloud FirestoreInterSystems IRIS
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