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DBMS > Badger vs. BigObject vs. Google BigQuery vs. InterSystems IRIS vs. Snowflake

System Properties Comparison Badger vs. BigObject vs. Google BigQuery vs. InterSystems IRIS vs. Snowflake

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbigobject.iocloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-iriswww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iocloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsBigObject, Inc.GoogleInterSystemsSnowflake Computing Inc.
Initial release20172015201020182014
Current release2023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
Linux
macOS
Ubuntu
Windows
hosted
Data schemeschema-freeyesyesdepending on used data modelyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuauser defined functions infoin JavaScriptyesuser defined functions
Triggersnononoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.noyesnoyesno
User concepts infoAccess controlnonoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BadgerBigObjectGoogle BigQueryInterSystems IRISSnowflake
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BadgerBigObjectGoogle BigQueryInterSystems IRISSnowflake
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