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DBMS > Google Cloud Bigtable vs. Linter vs. Microsoft Azure AI Search vs. Sadas Engine vs. Tibero

System Properties Comparison Google Cloud Bigtable vs. Linter vs. Microsoft Azure AI Search vs. Sadas Engine vs. Tibero

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonTibero  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.RDBMS for high security requirementsSearch-as-a-service for web and mobile app developmentSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value store
Wide column store
Relational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSVector DBMS
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
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitecloud.google.com/­bigtablelinter.ruazure.microsoft.com/­en-us/­services/­searchwww.sadasengine.comus.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-us/­azure/­searchwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGooglerelex.ruMicrosoftSADAS s.r.l.TmaxSoft
Initial release20151990201520062003
Current releaseV18.06, April 2015
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C and Assembler
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedAIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
JavaScript
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnonoPersistent Stored Procedure (PSM)
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-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 ConsistencyImmediate 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 datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'no infoplanned for next version
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 Azure authenticationAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Google Cloud BigtableLinterMicrosoft Azure AI SearchSadas EngineTibero
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