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DBMS > Drizzle vs. Graph Engine vs. IRONdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Drizzle vs. Graph Engine vs. IRONdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.graphengine.iowww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.graphengine.io/­docs/­manualdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analytics
DeveloperDrizzle project, originally started by Brian AkerMicrosoftCirconus LLC.Microsoft
Initial release2008201020172016
Current release7.2.4, September 2012V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CC and C++C++
Server operating systemsFreeBSD
Linux
OS X
.NETLinuxhosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBCRESTful HTTP APIHTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C#
C++
F#
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyes, in LuaTransact SQL
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic, metric affinity per nodeSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
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 persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyes

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More resources
DrizzleGraph Engine infoformer name: TrinityIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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