Software Alternatives, Accelerators & Startups
Register | Login

Microsoft SQL VS Qlik Compose

Compare Microsoft SQL VS Qlik Compose and see what are their differences

Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Qlik Compose logo Qlik Compose

Improve the return on your data lake investment and simplify the ETL process by automating manual and repetitive aspects of data warehouse automation with Attunity Compose.
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • Qlik Compose Landing page
    Landing page //
    2022-08-04

Microsoft SQL features and specs

  • Comprehensive Feature Set
    SQL Server offers a wide range of features including advanced analytics, in-memory capabilities, robust security measures, and integration services.
  • High Performance
    With in-memory OLTP and support for persistent memory technologies, SQL Server provides high transaction and query performance.
  • Scalability
    SQL Server can scale from small installations on single machines to large, data-intensive applications requiring high throughput and storage.
  • Security
    SQL Server offers advanced security features like encryption, dynamic data masking, and advanced threat protection, ensuring data safety and compliance.
  • Integrations
    It easily integrates with other Microsoft products such as Azure, Power BI, and Active Directory, providing a cohesive ecosystem for enterprise solutions.
  • Developer Friendly
    It supports a wide range of development tools and languages including .NET, Python, Java, and more, making it highly versatile for developers.
  • High Availability
    Features like Always On availability groups and failover clustering provide high availability and disaster recovery options for critical applications.

Possible disadvantages of Microsoft SQL

  • Cost
    SQL Server can be expensive, particularly for the Enterprise edition. Licensing costs can add up quickly depending on the features and scale required.
  • Complexity
    Due to its comprehensive feature set, SQL Server can be complex to configure and manage, requiring skilled administrators and developers.
  • Resource Intensive
    SQL Server can be resource-intensive, requiring substantial hardware resources for optimal performance, which can increase overall operational costs.
  • Windows-Centric
    While SQL Server can run on Linux, it is primarily optimized for and tightly integrated with the Windows ecosystem, which may not suit all organizations.
  • Vendor Lock-In
    Being a proprietary solution, it can cause vendor lock-in, making it challenging to switch to alternative database systems without significant migration efforts.

Qlik Compose features and specs

No features have been listed yet.

Analysis of Microsoft SQL

Overall verdict

  • Yes, Microsoft SQL Server is generally regarded as a good choice for database management, particularly for organizations that require high performance, reliability, and seamless integration with other Microsoft technologies.

Why this product is good

  • Microsoft SQL Server is considered a robust database management system because of its comprehensive features such as high scalability, strong security, and excellent integration with other Microsoft products. It provides tools for data mining, warehousing, and analytics, making it a popular choice for enterprises. Additionally, it offers high availability and disaster recovery solutions, and its active community provides extensive support and resources.

Recommended for

  • Enterprises
  • Businesses using Microsoft ecosystems
  • Organizations requiring robust data security
  • Users needing scalability for large datasets
  • Projects needing high availability and disaster recovery

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

Qlik Compose videos

+ Add

Building a Cloud Based Data Warehouse on Google Big Query Using Qlik Compose

More videos:

  • Review - Agile Data Warehouse Automation with Qlik Compose
  • Review - Talk to Experts Tuesday - Qlik Compose

Category Popularity

0-100% (relative to Microsoft SQL and Qlik Compose)

Microsoft SQL

Qlik Compose

Databases
100 100%
Databases
0% 0
ETL
0 0%
ETL
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Data Integration
87 87%
Data Integration
13% 13

User comments

Share your experience with using Microsoft SQL and Qlik Compose. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft SQL and Qlik Compose

Microsoft SQL Reviews

We have no reviews of Microsoft SQL yet.
Be the first one to post

Qlik Compose Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Qlik Compose is a data warehousing solution that automatically designs data warehouses and generates ETL code. This tool automates tedious and error-prone ETL development and maintenance. This‌ shortens the lead time of data warehousing projects.
Source: www.datacamp.com

What are some alternatives?

When comparing Microsoft SQL and Qlik Compose, you can also consider the following products

MySQL - The world's most popular open source database

AWS Glue - Fully managed extract, transform, and load (ETL) service

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

Oracle Database 12c - Simplify database management and automate the information lifecycle with maximum security.

Pentaho Data Integration - Hitachi Vantara brings Pentaho Data Integration, an end-to-end platform for all data integration challenges, that simplifies creation of data pipelines and provides big data processing.

Loading...