DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google BigQuery vs. Oracle NoSQL vs. Sadas Engine

System Properties Comparison Google BigQuery vs. Oracle NoSQL vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score4.74
Rank#82  Overall
#15  Document stores
#13  Key-value stores
#44  Relational DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitecloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­nosql.htmlwww.sadasengine.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperGoogleOracleSADAS s.r.l.
Initial release201020112006
Current release22.1, May 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial infofree trial version 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.
Implementation languageJavaC++
Server operating systemshostedLinux
Solaris SPARC/x86
AIX
Linux
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesoptionalyes
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 indexesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infooff heap cacheyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryOracle NoSQLSadas Engine
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
20 July 2021, CIO

Google’s Logica language addresses SQL’s flaws
15 April 2021, InfoWorld

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

provided by Google News

University Of Mauritius Develops Breast Cancer Awareness App With Support From Oracle
21 April 2022, The New Dawn Liberia

Oracle NoSQL database comes to the cloud
2 April 2020, TechTarget

Oracle NoSQL Database
28 March 2022, TechTarget

Oracle shows off more 'Always Free' cloud resources for developers
7 June 2021, SiliconANGLE News

Taking A Look At MongoDB After The Great Re-Rating
6 April 2022, Seeking Alpha

provided by Google News

Job opportunities

Business Intelligence Engineer
Amazon Web Services, Inc., Seattle, WA

Business Intelligence Engineer
Amazon.com Services LLC, Seattle, WA

Business Intelligence Engineer
Amazon.com Services LLC, Bellevue, WA

BI Engineer - Amazon Prime
Amazon.com Services LLC, Seattle, WA

Business Intelligence Engineer, Demand Forecasting
Amazon.com Services LLC, New York, NY

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here