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DBMS > Badger vs. Google BigQuery vs. QuestDB vs. SAP HANA

System Properties Comparison Badger vs. Google BigQuery vs. QuestDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Large scale data warehouse service with append-only tablesA high performance open source SQL database for time series dataIn-memory, column based data store. Available as appliance or cloud service
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigqueryquestdb.iowww.sap.com/­products/­hana.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigquery/­docsquestdb.io/­docshelp.sap.com/­hana
DeveloperDGraph LabsGoogleQuestDB Technology IncSAP
Initial release2017201020142010
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Appliance or cloud-service
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLnoyesSQL with time-series extensionsyes
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnoSQLScript, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by timestamps)yes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped filesyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes
More information provided by the system vendor
BadgerGoogle BigQueryQuestDBSAP HANA
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerGoogle BigQueryQuestDBSAP HANA
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