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DBMS > Google BigQuery vs. NSDb vs. SwayDB

System Properties Comparison Google BigQuery vs. NSDb vs. SwayDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNSDb  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.07
Rank#23  Overall
#15  Relational DBMS
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Score0.02
Rank#346  Overall
#53  Key-value stores
Websitecloud.google.com/­bigquerynsdb.ioswaydb.io
Technical documentationcloud.google.com/­bigquery/­docsnsdb.io/­Architecture
DeveloperGoogleSimer Plaha
Initial release201020172018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaScala
Server operating systemshostedLinux
macOS
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringno
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
Secondary indexesnoall fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query languageno
APIs and other access methodsRESTful HTTP/JSON APIgRPC
HTTP REST
WebSocket
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no

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More resources
Google BigQueryNSDbSwayDB
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