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DBMS > Google BigQuery vs. NSDb vs. RethinkDB vs. SwayDB

System Properties Comparison Google BigQuery vs. NSDb vs. RethinkDB vs. SwayDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  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 KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score2.81
Rank#110  Overall
#20  Document stores
Score0.03
Rank#385  Overall
#60  Key-value stores
Websitecloud.google.com/­bigquerynsdb.iorethinkdb.comswaydb.simer.au
Technical documentationcloud.google.com/­bigquery/­docsnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperGoogleThe Linux Foundation infosince July 2017Simer Plaha
Initial release2010201720092018
Current release2.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaC++Scala
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometryno
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 indexesnoall fields are automatically indexedyesno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsRESTful HTTP/JSON APIgRPC
HTTP REST
WebSocket
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnono
TriggersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoAtomic single-document operationsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousers and table-level permissionsno

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More resources
Google BigQueryNSDbRethinkDBSwayDB
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