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DBMS > 4D vs. atoti vs. Dragonfly vs. Microsoft Azure Synapse Analytics vs. SAP HANA

System Properties Comparison 4D vs. atoti vs. Dragonfly vs. Microsoft Azure Synapse Analytics vs. SAP HANA

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonatoti  Xexclude from comparisonDragonfly  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSObject oriented DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.4d.comatoti.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­hana.html
Technical documentationdeveloper.4d.comdocs.atoti.iowww.dragonflydb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­hana
Developer4D, IncActiveViamDragonflyDB team and community contributorsMicrosoftSAP
Initial release1984202320162010
Current releasev20, April 20231.0, March 20232.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsOS X
Windows
LinuxhostedAppliance or cloud-service
Data schemeyesscheme-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Multidimensional Expressions (MDX)noyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresyesPythonLuaTransact SQLSQLScript, R
Triggersyespublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, strict serializability by the serveryesyes
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.noyesyesyes
User concepts infoAccess controlUsers and groupsPassword-based authenticationyesyes

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More resources
4D infoformer name: 4th DimensionatotiDragonflyMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP HANA
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