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DBMS > Google BigQuery vs. Google Cloud Datastore vs. Snowflake vs. Speedb

System Properties Comparison Google BigQuery vs. Google Cloud Datastore vs. Snowflake vs. Speedb

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSnowflake  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing service for structured and semi-structured dataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitecloud.google.com/­bigquerycloud.google.com/­datastorewww.snowflake.comwww.speedb.io
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­datastore/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleGoogleSnowflake Computing Inc.Speedb
Initial release2010200820142020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedhostedLinux
Windows
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesno
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.nonoyesno
Secondary indexesnoyesno
SQL infoSupport of SQLyesSQL-like query language (GQL)yesno
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptusing Google App Engineuser defined functionsno
TriggersnoCallbacks using the Google Apps Engineno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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)Users with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
Google BigQueryGoogle Cloud DatastoreSnowflakeSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
Google BigQueryGoogle Cloud DatastoreSnowflakeSpeedb
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