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DBMS > 4D vs. Microsoft SQL Server vs. Vertica

System Properties Comparison 4D vs. Microsoft SQL Server vs. Vertica

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMicrosofts flagship relational DBMSColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#102  Overall
#52  Relational DBMS
Score970.61
Rank#3  Overall
#3  Relational DBMS
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websitewww.4d.comwww.microsoft.com/­en-us/­sql-serverwww.vertica.com
Technical documentationlivedoc.4d.comdocs.microsoft.com/­en-US/­sql/­sql-serverwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
Developer4D, IncMicrosoftVertica / Micro Focus infoprior to that Hewlett Packard
Initial release198419892005
Current releasev18 R5, January 2021SQL Server 2019, November 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsOS X
Windows
Linux
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoclose to SQL 92yesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, but depending on the SQL-Server EditionMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
4D infoformer name: 4th DimensionMicrosoft SQL ServerVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
» more

Fivetran: Quickly and easily centralize your on-premise and cloud databases.
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Navicat for SQL Server gives you a fully graphical approach to database management and development.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
4D infoformer name: 4th DimensionMicrosoft SQL ServerVertica infoVertica Analytics Platform
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