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DBMS > FatDB vs. Microsoft Azure Table Storage vs. PostGIS vs. TypeDB vs. Yaacomo

System Properties Comparison FatDB vs. Microsoft Azure Table Storage vs. PostGIS vs. TypeDB vs. Yaacomo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostGIS  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Wide Column Store for rapid development using massive semi-structured datasetsSpatial extension of PostgreSQLTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Wide column storeSpatial DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablespostgis.nettypedb.comyaacomo.com
Technical documentationpostgis.net/­documentationtypedb.com/­docs
DeveloperFatCloudMicrosoftVaticleQ2WEB GmbH
Initial release20122012200520162009
Current release3.4.2, February 20242.28.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoGPL Version 3, commercial licenses availablecommercial
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.
Implementation languageC#CJava
Server operating systemsWindowshostedLinux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 Servernoyesnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
JDBC
ODBC
Supported programming languagesC#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infovia applicationsnouser defined functionsno
Triggersyes infovia applicationsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQLnohorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infobased on PostgreSQLSynchronous replication via raftSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACIDACID
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.nononoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights based on private key authentication or shared access signaturesyes infobased on PostgreSQLyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard
More information provided by the system vendor
FatDBMicrosoft Azure Table StoragePostGISTypeDB infoformerly named GraknYaacomo
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
FatDBMicrosoft Azure Table StoragePostGISTypeDB infoformerly named GraknYaacomo
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