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DBMS > Badger vs. GridDB vs. Ingres vs. Quasardb

System Properties Comparison Badger vs. GridDB vs. Ingres vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridDB  Xexclude from comparisonIngres  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable in-memory time series database optimized for IoT and Big DataWell established RDBMSDistributed, high-performance timeseries database
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergriddb.netwww.actian.com/­databases/­ingresquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.griddb.netdocs.actian.com/­ingresdoc.quasar.ai/­master
DeveloperDGraph LabsToshiba CorporationActian Corporationquasardb
Initial release201720131974 infooriginally developed at University Berkely in early 1970s2009
Current release5.1, August 202211.2, May 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++CC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesyes infointeger and binary
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationIngres ReplicatorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users can be defined per databasefine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
BadgerGridDBIngresQuasardb
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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BadgerGridDBIngresQuasardb
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