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DBMS > DataFS vs. Dolt vs. Geode vs. Microsoft Azure Synapse Analytics

System Properties Comparison DataFS vs. Dolt vs. Geode vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDolt  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A MySQL compatible DBMS with Git-like versioning of data and schemaGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitenewdatabase.comgithub.com/­dolthub/­dolt
www.dolthub.com
geode.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdev.mobiland.com/­Overview.xspdocs.dolthub.comgeode.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperMobiland AGDoltHub IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2018201820022016
Current release1.1.263, October 20221.1, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsWindowsLinux
macOS
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (OQL)yes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
CLI Client
HTTP REST
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functionsTransact SQL
Triggersno, except callback-events from server when changes happenedyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono 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 dataACIDACIDyes, on a single nodeACID
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.noyes
User concepts infoAccess controlWindows-ProfileOnly one user is configurable, and must be specified in the config file at startupAccess rights per client and object definableyes

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More resources
DataFSDoltGeodeMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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