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DBMS > Altibase vs. Bangdb vs. Dgraph vs. Google Cloud Bigtable vs. InterSystems IRIS

System Properties Comparison Altibase vs. Bangdb vs. Dgraph vs. Google Cloud Bigtable vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBangdb  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSConverged and high performance database for device data, events, time series, document and graphDistributed and scalable native Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Graph DBMSKey-value store
Wide column store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitealtibase.combangdb.comdgraph.iocloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-iris
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.bangdb.comdgraph.io/­docscloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseSachin Sinha, BangDBDgraph Labs, Inc.GoogleInterSystems
Initial release19992012201620152018
Current releasev7.3, 2023, August 2023BangDB 2.0, October 20212023.3, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoBSD 3Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++Go
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
OS X
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Data schemeyesschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.nonononoyes
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLANSI SQL-92SQL like support with command line toolnonoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Proprietary protocol
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
C
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnononoyes
Triggersyesyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)no infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
AltibaseBangdbDgraphGoogle Cloud BigtableInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
AltibaseBangdbDgraphGoogle Cloud BigtableInterSystems IRIS
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