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DBMS > Google Cloud Bigtable vs. SiriDB vs. Valentina Server vs. YottaDB

System Properties Comparison Google Cloud Bigtable vs. SiriDB vs. Valentina Server vs. YottaDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSiriDB  Xexclude from comparisonValentina Server  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open Source Time Series DBMSObject-relational database and reports serverA fast and solid embedded Key-value store
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitecloud.google.com/­bigtablesiridb.comwww.valentina-db.netyottadb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.siridb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpyottadb.com/­resources/­documentation
DeveloperGoogleCesbitParadigma SoftwareYottaDB, LLC
Initial release2015201719992001
Current release5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC
Server operating systemshostedLinuxLinux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes infoNumeric datayesno
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyesby using the Octo plugin
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP APIODBCPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Google Cloud BigtableSiriDBValentina ServerYottaDB
Recent citations in the news

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

provided by Google News

A Look at Valentina — SitePoint
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