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DBMS > 4D vs. Derby vs. etcd vs. Spark SQL

System Properties Comparison 4D vs. Derby vs. etcd vs. Spark SQL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonetcd  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed reliable key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comdb.apache.org/­derbyetcd.io
github.com/­etcd-io/­etcd
spark.apache.org/­sql
Technical documentationdeveloper.4d.comdb.apache.org/­derby/­manuals/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
spark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncApache Software FoundationApache Software Foundation
Initial release198419972014
Current releasev20, April 202310.17.1.0, November 20233.4, August 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoScala
Server operating systemsOS X
Windows
All OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCgRPC
JSON over HTTP
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesJava Stored Proceduresnono
Triggersyesyesyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardnono

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More resources
4D infoformer name: 4th DimensionDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBetcdSpark SQL
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