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DBMS > AgensGraph vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. Tibero

System Properties Comparison AgensGraph vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. Tibero

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Wide Column Store for rapid development using massive semi-structured datasetsA secure RDBMS, designed for easy portability from Oracle
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Wide column store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitebitnine.net/­agensgraphcloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­storage/­tablesus.tmaxsoft.com/­products/­tibero
Technical documentationbitnine.net/­documentationcloud.google.com/­bigtable/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperBitnine Global Inc.GoogleMicrosoftTmaxSoft
Initial release2016201520122003
Current release2.1, December 20186, April 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and Assembler
Server operating systemsLinux
OS X
Windows
hostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnonoPersistent Stored Procedure (PSM)
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
AgensGraphGoogle Cloud BigtableMicrosoft Azure Table StorageTibero
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