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DBMS > FatDB vs. Google Cloud Bigtable vs. MySQL vs. Sadas Engine vs. TypeDB

System Properties Comparison FatDB vs. Google Cloud Bigtable vs. MySQL vs. Sadas Engine vs. TypeDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMySQL  Xexclude from comparisonSadas Engine  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Widely used open source RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached APIRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.84
Rank#80  Overall
#13  Key-value stores
#6  Wide column stores
Score1202.85
Rank#2  Overall
#2  Relational DBMS
Score0.00
Rank#357  Overall
#155  Relational DBMS
Score0.82
Rank#194  Overall
#18  Graph DBMS
#91  Relational DBMS
Websitecloud.google.com/­bigtablewww.mysql.comwww.sadasengine.comvaticle.com
Technical documentationcloud.google.com/­bigtable/­docsdev.mysql.com/­docwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.vaticle.com
DeveloperFatCloudGoogleOracle infosince 2010, originally MySQL AB, then SunSADAS s.r.l.Vaticle (formerly Grakn Labs)
Initial release20122015199520062016
Current release8.0.30, July 20228.02.11.0, June 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infofree trial version availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC#C and C++C++Java
Server operating systemsWindowshostedFreeBSD
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyesnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infowith proprietary extensionsyesno
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)
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Proprietary protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoproprietary syntaxnono
Triggersyes infovia applicationsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
noneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonoyes infoby using Apache Kafka and Apache Zookeeper
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)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.noyesyes infomanaged by 'Learn by Usage'no
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)Users with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
FatDBGoogle Cloud BigtableMySQLSadas EngineTypeDB infoformerly named Grakn
Specific characteristicsMeet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more
Competitive advantagesEntity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
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