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DBMS > Google Cloud Bigtable vs. Interbase vs. Memcached vs. openGauss vs. Valentina Server

System Properties Comparison Google Cloud Bigtable vs. Interbase vs. Memcached vs. openGauss vs. Valentina Server

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInterbase  Xexclude from comparisonMemcached  Xexclude from comparisonopenGauss  Xexclude from comparisonValentina Server  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.Light-weight proven RDBMS infooriginally from BorlandIn-memory key-value store, originally intended for cachingAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiObject-relational database and reports server
Primary database modelKey-value store
Wide column store
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitecloud.google.com/­bigtablewww.embarcadero.com/­products/­interbasewww.memcached.orggitee.com/­opengauss
opengauss.org
www.valentina-db.net
Technical documentationcloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­memcached/­memcached/­wikidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleEmbarcaderoDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHuawei and openGauss communityParadigma Software
Initial release20151984200320191999
Current releaseInterBase 2020, December 20191.6.29, June 20243.0, March 20225.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC, C++, Java
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nono infoexport as XML data possibleno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoANSI SQL 2011yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary protocolJDBC
ODBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenoyesyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesInterbase Change Viewsnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableInterbaseMemcachedopenGaussValentina Server
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