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DBMS > Altibase vs. Badger vs. Google Cloud Bigtable vs. GridDB vs. SiriDB

System Properties Comparison Altibase vs. Badger vs. Google Cloud Bigtable vs. GridDB vs. SiriDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable in-memory time series database optimized for IoT and Big DataOpen Source Time Series DBMS
Primary database modelRelational DBMSKey-value storeKey-value store
Wide column store
Time Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitealtibase.comgithub.com/­dgraph-io/­badgercloud.google.com/­bigtablegriddb.netsiridb.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsdocs.griddb.netdocs.siridb.com
DeveloperAltibaseDGraph LabsGoogleToshiba CorporationCesbit
Initial release19992017201520132017
Current releasev7.3, 2023, August 20235.1, August 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++C
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes infonumerical, string, blob, geometry, boolean, timestampyes infoNumeric data
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.nonononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLANSI SQL-92nonoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
C++
Java
GoC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresstored procedures and stored functionsnononono
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsACID at container levelno
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.yesnonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databasesimple rights management via user accounts
More information provided by the system vendor
AltibaseBadgerGoogle Cloud BigtableGridDBSiriDB
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
AltibaseBadgerGoogle Cloud BigtableGridDBSiriDB
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