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DBMS > Google BigQuery vs. Google Cloud Bigtable vs. Graphite vs. Riak KV vs. SwayDB

System Properties Comparison Google BigQuery vs. Google Cloud Bigtable vs. Graphite vs. Riak KV vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonRiak KV  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed, fault tolerant key-value storeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecloud.google.com/­bigquerycloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webswaydb.simer.au
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleGoogleChris DavisOpenSource, formerly Basho TechnologiesSimer Plaha
Initial release20102015200620092018
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlangScala
Server operating systemshostedhostedLinux
Unix
Linux
OS X
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlynono
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.nonononono
Secondary indexesnononorestrictedno
SQL infoSupport of SQLyesnononono
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP API
Native Erlang Interface
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoErlangno
Triggersnononoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic single-row operationsnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes, using Riak Securityno

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Google BigQueryGoogle Cloud BigtableGraphiteRiak KVSwayDB
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