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DBMS > 4D vs. Splice Machine

System Properties Comparison 4D vs. Splice Machine

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.88
Rank#114  Overall
#58  Relational DBMS
Score0.88
Rank#226  Overall
#106  Relational DBMS
Websitewww.4d.comsplicemachine.com
Technical documentationlivedoc.4d.comdoc.splicemachine.com
Developer4D, IncSplice Machine
Initial release19842014
Current releasev18 R5, January 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsOS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionSplice Machine
News

How to Break Data Silos to Drive Enterprise-Wide AI
11 June 2021

Point-in-Time Correctness in Machine Learning
1 June 2021

The Compliance Nightmare Lurking in Your Data Science Team
6 May 2021

Whose Job Is It Anyway?
23 April 2021

How Optimizing MLOps Can Revolutionize Enterprise AI
15 April 2021

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More resources
4D infoformer name: 4th DimensionSplice Machine
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Recent citations in the news

Fourth-dimension roller coaster
28 April 2022, Wikipedia

4th Dimension 4D Database Excessive CPU Utilization – Iowa City Technology Services
2 October 2014, iowacitytechnologyservices.com

About 4D, Inc (Software Company)
8 July 2019, solvusoft.com

ibrewster/p4d: Python database module for the 4D database system
3 December 2014, GitHub

Dimension IV Consulting, LLC
29 December 2020, d4consult.com

provided by Google News

Unified MLOps: Feature Stores and Model Deployment
13 May 2022, InfoQ.com

Booming Data Volumes and Velocities Require Vectorized ...
7 February 2023, RTInsights

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27 December 2022, RTInsights

Splice Machine Launches the Splice Machine Feature Store to ...
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Why SQL Will Remain the Data Scientist's Best Friend
5 September 2022, RTInsights

provided by Google News

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