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DBMS > 4D vs. Heroic vs. Spark SQL vs. WakandaDB

System Properties Comparison 4D vs. Heroic vs. Spark SQL vs. WakandaDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHeroic  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpark SQL is a component on top of 'Spark Core' for structured data processingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.4d.comgithub.com/­spotify/­heroicspark.apache.org/­sqlwakanda.github.io
Technical documentationdeveloper.4d.comspotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
Developer4D, IncSpotifyApache Software FoundationWakanda SAS
Initial release1984201420142012
Current releasev20, April 20233.5.0 ( 2.13), September 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, JavaScript
Server operating systemsOS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
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.yesnonono
Secondary indexesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statementsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
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.nononono
User concepts infoAccess controlUsers and groupsnoyes

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More resources
4D infoformer name: 4th DimensionHeroicSpark SQLWakandaDB
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