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DBMS > Google BigQuery vs. IRONdb vs. SingleStore

System Properties Comparison Google BigQuery vs. IRONdb vs. SingleStore

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIRONdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score36.00
Rank#24  Overall
#15  Relational DBMS
Score0.00
Rank#335  Overall
#31  Time Series DBMS
Score5.51
Rank#65  Overall
#37  Relational DBMS
Websitecloud.google.com/­bigquerywww.circonus.com/­solutions/­time-series-databasewww.singlestore.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.circonus.com/­irondbdocs.singlestore.com
DeveloperGoogleCirconus LLC.SingleStore Inc.
Initial release201020172013
Current releaseV0.10.20, January 20187.1.11, October 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageC and C++C++
Server operating systemshostedLinuxLinux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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 indexesnonoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes, but no triggers and foreign keys
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIJDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes, in Luayes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency only within each node
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
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) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryIRONdbSingleStore infoformer name was MemSQL
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google BigQueryIRONdbSingleStore infoformer name was MemSQL
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