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DBMS > Google Cloud Spanner vs. Infobright vs. OrigoDB vs. YDB

System Properties Comparison Google Cloud Spanner vs. Infobright vs. OrigoDB vs. YDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInfobright  Xexclude from comparisonOrigoDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA fully ACID in-memory object graph databaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitecloud.google.com/­spannerignitetech.com/­softwarelibrary/­infobrightdborigodb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcloud.google.com/­spanner/­docsorigodb.com/­docsydb.tech/­en/­docs
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.Robert Friberg et alYandex
Initial release201720052009 infounder the name LiveDB2019
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open SourceOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesnoSQL-like query language (YQL)
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole based authorizationAccess rights defined for Yandex Cloud users

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More resources
Google Cloud SpannerInfobrightOrigoDBYDB
Recent citations in the news

Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14 October 2023, InfoQ.com

Google makes its Cloud Spanner database service faster and more cost-efficient
11 October 2023, SiliconANGLE News

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11 October 2023, TechCrunch

Google Cloud just fired a major volley at AWS as the cloud wars heat up
12 October 2023, TechRadar

Google Spanner: When Do You Need to Move to It?
11 September 2023, hackernoon.com

provided by Google News

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

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30 April 2024, VOI.ID

Personal Data Protection Service Initiates Probe into Yandex.Go App’s Data Processing
10 August 2023, Civil Georgia

Data leak from Russian delivery app shows dining habits of the secret police
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1 February 2023, The Indian Express

Russian secret police data leaked by food delivery app including where they live and what they eat...
4 April 2022, The US Sun

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