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DBMS > 4D vs. SQL.JS vs. Vertica vs. VoltDB

System Properties Comparison 4D vs. SQL.JS vs. Vertica vs. VoltDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonSQL.JS  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemPort of SQLite to JavaScriptCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.4d.comsql.js.orgwww.vertica.comwww.voltdb.com
Technical documentationdeveloper.4d.comsql.js.org/­documentation/­index.htmlvertica.com/­documentationdocs.voltdb.com
Developer4D, IncAlon Zakai infoenhancements implemented by othersOpenText infopreviously Micro Focus and Hewlett PackardVoltDB Inc.
Initial release1984201220052010
Current releasev20, April 202312.0.3, January 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoLimited community edition freeOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java, C++
Server operating systemsOS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X infofor development
Data schemeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
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.yesnono
Secondary indexesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLyes infoclose to SQL 92yes infoSQL-92 is not fully supportedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infoonly a subset of SQL 99
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JavaScript APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
JavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnoyes, PostgreSQL PL/pgSQL, with minor differencesJava
Triggersyesnoyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesno infoexcept by serializing a db to a fileyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers and roles with access to stored procedures
More information provided by the system vendor
4D infoformer name: 4th DimensionSQL.JSVertica infoOpenText™ Vertica™VoltDB
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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4D infoformer name: 4th DimensionSQL.JSVertica infoOpenText™ Vertica™VoltDB
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