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DBMS > AgensGraph vs. FatDB vs. Microsoft Azure Table Storage vs. Spark SQL vs. Yaacomo

System Properties Comparison AgensGraph vs. FatDB vs. Microsoft Azure Table Storage vs. Spark SQL vs. Yaacomo

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpark SQL  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
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Wide Column Store for rapid development using massive semi-structured datasetsSpark SQL is a component on top of 'Spark Core' for structured data processingOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphazure.microsoft.com/­en-us/­services/­storage/­tablesspark.apache.org/­sqlyaacomo.com
Technical documentationbitnine.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.FatCloudMicrosoftApache Software FoundationQ2WEB GmbH
Initial release20162012201220142009
Current release2.1, December 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#Scala
Server operating systemsLinux
OS X
Windows
WindowshostedLinux
OS X
Windows
Android
Linux
Windows
Data schemedepending on used data modelschema-freeschema-freeyesyes
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.nononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsyes
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infovia applicationsnono
Triggersnoyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingnoACID
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 controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
AgensGraphFatDBMicrosoft Azure Table StorageSpark SQLYaacomo
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