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DBMS > Google BigQuery vs. OpenQM vs. SingleStore

System Properties Comparison Google BigQuery vs. OpenQM vs. SingleStore

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesQpenQM is a high-performance, self-tuning, multi-value DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitecloud.google.com/­bigquerywww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.singlestore.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.singlestore.com
DeveloperGoogleRocket Software, originally Martin PhillipsSingleStore Inc.
Initial release201019932013
Current release3.4-128.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercial 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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, Go
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux info64 bit version required
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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)Access rights can be defined down to the item levelFine grained access control via users, groups and roles
More information provided by the system vendor
Google BigQueryOpenQM infoalso called QMSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Google BigQueryOpenQM infoalso called QMSingleStore infoformer name was MemSQL
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