DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > atoti vs. Microsoft SQL Server vs. Spark SQL

System Properties Comparison atoti vs. Microsoft SQL Server vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Microsofts flagship relational DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iowww.microsoft.com/­en-us/­sql-serverspark.apache.org/­sql
Technical documentationdocs.atoti.iolearn.microsoft.com/­en-US/­sql/­sql-serverspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamMicrosoftApache Software Foundation
Initial release19892014
Current releaseSQL Server 2022, November 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++Scala
Server operating systemsLinux
Windows
Linux
OS X
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

More information provided by the system vendor

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

Navicat for SQL Server gives you a fully graphical approach to database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
atotiMicrosoft SQL ServerSpark SQL
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Best use of cloud: ActiveViam
28 November 2023, Risk.net

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

A generative AI use case using Amazon RDS for SQL Server as a vector data store | Amazon Web Services
22 May 2024, AWS Blog

SQL Server vNext: When and What Is Coming
16 May 2024, Redmondmag.com

Data Virtualization in SQL Server 2022
7 May 2024, Visual Studio Magazine

SQL Server 2014 end of support: Keep your customers secure
28 March 2024, Microsoft

How to Know When It's Time for a Microsoft SQL Server Upgrade
31 October 2023, BizTech Magazine

provided by Google News

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

Performant IPv4 Range Spark Joins | by Jean-Claude Cote
24 January 2024, Towards Data Science

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

provided by Google News



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here