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DBMS > 4D vs. Heroic vs. Microsoft Azure Synapse Analytics vs. YottaDB

System Properties Comparison 4D vs. Heroic vs. Microsoft Azure Synapse Analytics vs. YottaDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fast and solid embedded Key-value store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.4d.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsyottadb.com
Technical documentationdeveloper.4d.comspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsyottadb.com/­resources/­documentation
Developer4D, IncSpotifyMicrosoftYottaDB, LLC
Initial release1984201420162001
Current releasev20, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsOS X
Windows
hostedDocker
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLyes infoclose to SQL 92noyesby using the Octo plugin
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages4D proprietary IDE
PHP
C#
Java
PHP
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnoTransact SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlUsers and groupsyesUsers and groups based on OS-security mechanisms

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More resources
4D infoformer name: 4th DimensionHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYottaDB
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