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DBMS > AgensGraph vs. Apache Druid vs. FatDB vs. Microsoft Azure SQL Database

System Properties Comparison AgensGraph vs. Apache Druid vs. FatDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitebitnine.net/­agensgraphdruid.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsFatCloudMicrosoft
Initial release2016201220122010
Current release2.1, December 201829.0.1, April 2024V12
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC#C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windowshosted
Data schemedepending on used data modelyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingno infoVia inetgration in SQL Serveryes
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infovia applicationsTransact SQL
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesselectable replication factoryes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard

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More resources
AgensGraphApache DruidFatDBMicrosoft Azure SQL Database infoformerly SQL Azure
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