Comparing Qlikview and SQL is essential for businesses seeking the right tools for data analysis and reporting. Both offer unique functionalities and cater to different data management needs.
Qlikview is a data visualization tool that provides intuitive dashboards, while SQL is a language used to manage and manipulate databases.
This discussion will also explore Sourcetable, which offers a modern, spreadsheet-like interface that syncs with your data, presenting an alternative to Qlikview or SQL for various business intelligence tasks.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It features an associative engine that facilitates on-the-fly generation of new data views, enhancing data exploration and discovery.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It features an associative engine that facilitates on-the-fly generation of new data views, enhancing data exploration and discovery.
The platform is capable of compressing data and storing it in memory, which allows multiple users to simultaneously explore the data with speed and efficiency. QlikView's direct connection to data sources ensures a seamless and integrated associative experience across all data utilized for analysis.
Unlike traditional business intelligence tools, QlikView does not confine users to predetermined drill paths or static dashboards, thereby offering a flexible and dynamic analytics environment.
Associative Engine |
The associative engine is the cornerstone of QlikView, enabling its unique data discovery capabilities. |
Visual Discovery |
Intuitive visual discovery allows users to easily navigate and understand complex data sets. |
Qlik Cloud Analytics & Qlik Sense |
|
Data Definition Language (DDL) |
Enables the creation, alteration, and deletion of database structures. |
Data Manipulation Language (DML) |
Facilitates the insertion, update, and deletion of data within database tables. |
Query Language |
Allows for the retrieval of data through SELECT queries, enabling complex data analysis. |
Transaction Control |
Provides mechanisms to manage database transactions to ensure data consistency and integrity. |
Data Integrity |
Guarantees the accuracy and reliability of data within the database. |
User Access Control |
Offers tools to manage user permissions and secure data access. |
Portability |
Ensures SQL code can be executed across different database systems without modifications. |
Client Server Execution and Remote Database Access |
Supports operations in client-server architectures and access to remote databases. |
Security and Authentication |
Secures data through user authentication and authorization measures. |
Embedded SQL |
Allows for the integration of SQL with other programming languages for various applications. |
Advanced SQL Features |
Incorporates complex functionalities like recursive queries, decision supporting queries, and data mining. |
Qlikview empowers users with self-service BI capabilities, streamlining reporting and analytics. Its dynamic dashboards enhance data interpretation through effective visualization tools.
The platform facilitates teamwork by enabling collaborative data exploration, supporting informed decision-making across departments.
Known for its simplicity, Qlikview's ease of implementation minimizes setup time, allowing businesses to quickly leverage BI tools.
Qlikview offers robust data security measures to protect sensitive information. It boasts high-speed data processing thanks to its efficient in-memory technology.
With its cost-effective approach, Qlikview delivers a competitive advantage in BI without significant investment, making it accessible for a range of businesses.
Qlikview may not be the most efficient solution for real-time data analysis, potentially hindering timely insights.
Developing applications in Qlikview requires a level of technical expertise, which can be a barrier for some users.
Embedding Qlikview with other software may result in an awkward fit, complicating an organization's tech ecosystem.
Businesses may encounter poor customer support, which can affect problem resolution and user satisfaction.
The presence of old tools and interfaces in Qlikview can lead to a less intuitive user experience.
For small or medium-sized businesses, the cost of Qlikview might be prohibitive, affecting the return on investment.
Poor ratings in surveys suggest that users may have negative experiences or unmet expectations with Qlikview.
QlikView uses 3-4 times as much memory when running a script as when working in the layout. It can handle a few million rows of typical transaction data on a PC with 512MB of RAM and up to one billion rows of transaction data on large servers.
Yes, QlikView can automatically join fields with the same name. For fields with different names, it can join them using an alias or AS statement.
QlikView can use SQL-like syntax on text files, use the table file wizard to load fix-record text files, read tables from web pages using the table file wizard, and update a document using incremental reloads.
QlikView issues warnings for circular references and can link multiple info files to a field by creating duplicate fields to maintain data consistency.
QlikView can be shared with others using QlikView Server or QlikView Publisher, and it can limit who can use a document using section access.
Improving efficiency, customer service, and sales
Simplifying analytics with a company-wide portal
Boosting operational success
Lowering costs and reducing effort to convert loan prospects
SQL's robustness and widespread use make it integral for business intelligence (BI) tasks. Its capabilities facilitate efficient reporting and sophisticated data analytics, essential for informed decision-making.
SQL's robustness and widespread use make it integral for business intelligence (BI) tasks. Its capabilities facilitate efficient reporting and sophisticated data analytics, essential for informed decision-making.
SQL's querying power enables the extraction of pertinent data for reporting. This precision supports the creation of accurate and actionable business reports.
SQL's application in data analytics allows for the manipulation and analysis of large datasets. The language's functions support complex analytical queries necessary for BI.
Many BI tools leverage SQL, underscoring its importance in the field. SQL proficiency is crucial for maximizing the potential of these tools.
For data professionals and developers, SQL is a cornerstone skill. Mastery of SQL is directly linked to effective business intelligence strategies.
SQL's complex interface can pose challenges for users, hindering efficient report generation and data analysis.
Investing in SQL for business intelligence can incur significant expenses, impacting a company's budget.
The rigid structure of SQL may not accommodate the dynamic needs of business intelligence, restricting adaptability.
SQL's inability to provide real-time analytics can delay decision-making processes critical for businesses.
Business intelligence tasks may suffer due to SQL's potentially limited query performance, affecting data insights.
The intricate requirements for setting up and managing SQL systems can add to operational challenges.
SQL stands for Structured Query Language and is used to handle organized data, particularly in relational databases.
The basic commands in SQL include SELECT for selecting data from a database, INSERT for adding records, UPDATE for modifying records, DELETE for deleting records, and CREATE for creating new tables or databases.
A JOIN in SQL is used to combine rows from two or more tables based on a related column between them. It allows for the retrieval of data that is spread across multiple tables.
DELETE is used to remove specific records or all records from a table while maintaining the table structure. TRUNCATE removes all records from a table but does not delete the table itself, and it also resets any auto-increment counters. DROP removes the entire table structure along with its data.
Normalization is the process of organizing structured data in a database efficiently by minimizing redundancy and dependency, typically through dividing a database into two or more tables and defining relationships between them.
Querying and analyzing data to generate business recommendations
Joining multiple data sources to create comprehensive business reports
Conducting exploratory data analysis to uncover trends and insights for strategic planning
Analyzing financial data to inform budgeting and investment decisions
Sourcetable streamlines data synchronization across multiple services into an easy-to-use spreadsheet interface, eliminating complex data processing layers often associated with traditional BI tools.
With its spreadsheet-like interface, Sourcetable allows users to create and manage reports without the steep learning curve of Qlikview's associative engine or SQL queries.
Sourcetable provides an intuitive platform for data analytics, making it accessible to a wider audience and reducing dependency on specialized on-premises solutions like Qlik Sense or cloud-based SaaS deployments such as Qlik Cloud Analytics.
While Qlikview supports real-time collaboration and action, Sourcetable's approach integrates these features seamlessly within a familiar spreadsheet environment, enhancing teamwork and decision-making.
Similar to Qlik Sense, Sourcetable leverages AI to provide insights, but with the added benefit of a more user-friendly interface that doesn’t require extensive training or technical expertise.
QlikView is an analytics solution, whereas SQL is a language for managing and querying data in databases. They are not directly comparable as they serve different functions in data handling and analysis. QlikView's associative engine, visual discovery, and deployment options differ from SQL's data manipulation capabilities.
QlikView is an analytics solution, whereas SQL is a language for managing and querying data in databases. They are not directly comparable as they serve different functions in data handling and analysis. QlikView's associative engine, visual discovery, and deployment options differ from SQL's data manipulation capabilities.
Comparing QlikView to SQL is not a direct analogy, as they are tools with different primary functions in the landscape of data analysis and database management.
QlikView is an analytics solution with an associative engine for data processing, enabling intuitive visual discovery and real-time collaboration. SQL, on the other hand, is a language for managing and querying relational databases, focusing on structured data manipulation rather than analytics visualization.
QlikView offers flexible deployment options, available both as a cloud-based SaaS with Qlik Cloud Analytics and an on-premises solution with Qlik Sense. SQL typically operates within database environments and requires integration with other tools for analytics purposes.
QlikView allows users to engage with data through interactive visual discovery, making business intelligence more accessible. SQL demands knowledge of query syntax and does not natively provide visual analytics, targeting a more technical user base.
The associative engine of QlikView revolutionized data utilization in organizations, promoting active analytics and AI-enhanced insights. SQL provides the means for structured querying and data retrieval without inherent analytics or AI capabilities.
QlikView supports real-time collaboration and action, allowing teams to make strategic decisions quickly. SQL, as a querying language, does not inherently include collaboration features and requires additional tools for similar functionality.
Qlikview is an analytics solution that utilizes an associative engine for data processing and offers visual discovery for data presentation. It allows users to deploy on both cloud (with Qlik Cloud Analytics) and on-premises (with Qlik Sense), using AI to enhance insights and promote real-time collaboration.
SQL (Structured Query Language) is a standard programming language for managing and manipulating relational databases. Unlike Qlikview, SQL does not inherently provide analytics or data visualization and typically requires additional tools for such functionalities.
Sourcetable is likely a different type of data solution, possibly focusing on spreadsheet interfaces or data tables. Given the facts provided, Qlikview differs by focusing on associative data models, visual discovery, and both cloud and on-premises deployments. While Sourcetable is not described in the facts, it can be inferred that it might not include an associative engine or AI-powered insights, which are distinctive features of Qlikview.
Without specific facts about Sourcetable, a direct comparison to SQL is speculative. However, SQL as a language for managing relational databases is foundational and different from applications or services like Sourcetable that may offer user interfaces for interacting with data. SQL's role is to query, update, and manage data, whereas Sourcetable may provide a more user-friendly and less technical approach to data interaction.
Sourcetable is a spreadsheet application that replaces workflows typically done in Excel, Google Sheets, and Business Intelligence tools. It is used by growth teams and business operations folks who need to centralize, analyze, and model data that updates over time.
Sourcetable allows users to access and sync data from over 100 applications and most databases, with updates occurring every 15 minutes on the regular plan and every 5 minutes on the pro plan.
No coding is required to use Sourcetable. Users can query data and build live models that automatically update without any coding knowledge.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. Each additional seat costs $20 per month after the first five users included in the pro plan.
Yes, all plans have a 14-day free trial period.
Qlikview's standard plan is designed for a minimum of 20 full users, offering essential features for businesses to analyze and visualize their data. This plan includes 25 GB per year of data analysis capacity, interactive data visualizations, dashboards, AI-powered augmented analytics, collaboration tools, and 24x7 customer support. It allows integration with hundreds of data sources.
The premium plan extends the standard offerings with 50 GB per year for data analysis. It adds capabilities such as automated report compilation, delivery, predictive analytics with automated machine learning, and no-code automation builder triggers. This plan also includes additional data source connections and enhanced data governance.
Qlikview's enterprise plan is the most extensive option, providing 500 GB per year for data analysis. Besides all the premium features, the enterprise plan supports a wider scale of operations and includes a personalized customer success plan to ensure optimal usage of the platform.
Both premium and enterprise plans inherit all the functionalities of the standard plan. For all plans, Qlikview issues alerts for users nearing their capacity limit, ensuring proactive management of resources.
SQL Server 2022 Enterprise edition is priced at $15,123 per 2 core pack for a license purchase. Additionally, it offers a volume license subscription at $5,434 per year for a 2 core pack. For cloud-based services, the cost is $274 per month per core or $0.375 per hour.
The Standard edition of SQL Server 2022 can be acquired for $3,945 per 2 core pack, or $989 for a server license. The cost for a Standard edition Client Access License (CAL) is $230. With a volume license, the annual subscription is $1,418 per year for a 2 core pack. Usage-based pricing is $73 per month per core or $0.100 per hour.
Both the Developer and Express editions of SQL Server 2022 are available at no cost.
QlikView has been rated with an overall score of 4.3. It excels in functionality with a rating of 4.5, while ease-of-use, customer support, and value for money all stand at a 4.
Users appreciate QlikView's versatility for data visualization and its capability to integrate multiple data sources for complex reporting. It is often used for creating sales and inventory dashboards. However, it is noted that while QlikView offers a range of data visualization options, they are not considered the best in class. Additionally, some users find QlikView's user interface to be clunky and less user-friendly with certain data sources like BW and Big Data. Despite this, QlikView is lauded for its in-memory processing and the speed at which it processes data.
There are concerns regarding QlikView's performance with heavy data volume, resulting in slow response times. Users also report a slight delay in real-time data synchronization. Nevertheless, QlikView is recognized as a powerful BI tool, especially for analyzing sales and marketing data.
QlikView has been critiqued for not having strong visualization capabilities when compared to competitors like Qlik Sense, Tableau, and PowerBI. In addition, QlikView does not allow exporting of a list of all currently licensed users or write back to the database. Some users find QlikView to be expensive and not ideal for detailed reporting.
QlikView has a support forum and a wide user group over the internet. These resources can be particularly beneficial for students writing thesis or for learning purposes, as QlikView is noted to provide a ton of value and is easy to implement.
Users who require customization in their reporting processes find that QlikView allows for modifications using VBA or other programming languages. The software is also capable of automating report distribution and creation through scheduled batch jobs for ETL.
Codecademy provides a free SQL Queries course that has been mentioned in user discussions online. Participants appreciate the no-cost opportunity to learn SQL basics.
The platform's specialized SQL course for finance is recognized for being affordable. Users in the finance sector consider this course a valuable asset for their job skills enhancement.
Across various forums, the affordability of Codecademy's SQL course is consistently noted. Moreover, the course's relevance to financial professions is highlighted as a significant advantage.
In comparing QlikView and SQL for business intelligence, it's evident that each has distinct functionalities and use cases. QlikView is a data visualization tool, while SQL is a language for managing and querying databases.
Sourcetable offers a different angle by integrating real-time data synchronization across all services into a spreadsheet interface, simplifying the business intelligence process.
This integration could serve as a streamlined solution for those seeking an accessible and familiar way to handle their BI needs, without the complexities often associated with traditional BI tools.