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DBMS > FatDB vs. Google Cloud Bigtable vs. Oracle NoSQL vs. OrigoDB

System Properties Comparison FatDB vs. Google Cloud Bigtable vs. Oracle NoSQL vs. OrigoDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Document store
Key-value store
Relational DBMS
Document store
Object oriented 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
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitecloud.google.com/­bigtablewww.oracle.com/­database/­nosql/­technologies/­nosqlorigodb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlorigodb.com/­docs
DeveloperFatCloudGoogleOracleRobert Friberg et al
Initial release2012201520112009 infounder the name LiveDB
Current release24.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaC#
Server operating systemsWindowshostedLinux
Solaris SPARC/x86
Linux
Windows
Data schemeschema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesnooptionalUser defined using .NET types and collections
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 .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes infovia applicationsnonoyes
Triggersyes infovia applicationsnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesRole based authorization

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More resources
FatDBGoogle Cloud BigtableOracle NoSQLOrigoDB
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