Alteryx vs Oracle Big Data Preparation Cloud Service vs SAS Enterprise Guide comparison

Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

With Alteryx You Can:

• Prep, blend, and analyze data
• Deliver faster, better business outcomes
• Automate analytics and data science
• Embed intelligent decisioning
• Deploy and share analytics in hours

Alteryx Features Include:

Some of the most valuable Alteryx features include:

Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

Alteryx Can Be Used For:

• Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.
  
  
• Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
  
• API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.
  
  
• Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.
  
  
• Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).
  
  
• Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

Alteryx Benefits

Some of the benefits of using Alteryx include
:

• Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.
  
  
• Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.
  
  
• Excellent workflow compatibility.
  
  
• Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.
  
  
• Fast data loading: Alteryx has tools that make it very effective when working with big data sets.
  
  
• No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.
  
  
• Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

Reviews from Real Users

"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company

Built natively in Hadoop and Spark for scale, Oracle Big Data Preparation Cloud Service provides a highly intuitive and interactive way for analysts to prepare unstructured, semi-structured and structured data for downstream processing.

SAS Enterprise Guide is an intuitive statistical analysis solution that enables users of all backgrounds to engage in statistical analysis.

Users can create and deploy customized tasks and dynamic content that best meet their needs. Interactive content can easily be shared on the cloud and the internet.

Benefits of SAS Enterprise Guide

Some of the benefits of using SAS Enterprise Guide include:

• Provides users with robust, centralized, and role based system security. SAS Enterprise Guide enables users to protect their network from a wide variety of threats. A single system of security provides and authenticates system access credentials. Individuals are empowered to easily adjust their organization’s security credentials to meet their changing security needs.

• Easily access and manipulate system data. SAS Enterprise Guide employs a user-friendly user interface that enables users to view and and use data without requiring them to have an extensive knowledge of coding. Business analysts can generate and disseminate reports without help. Information technology teams are freed up to handle more pressing issues. Datasets can also be embedded into the system so that users dont have to re-enter them into the system.

Reviews from Real Users

SAS Enterprise Guide is a statistical analysis tool that stands out among its competitors for a number of reasons. Two major ones are the solution’s intuitive nature and the suite of functionalities that it offers. SAS Enterprise Guide makes it easy for users who lack a background in statistical analysis to create workflows. The solution enables users to customize and configure queries without requiring them to have a background in coding. SAS Enterprise Guide has a wide variety of functionalities. It is highly flexible and gives users the ability to complete many different tasks.

The head of analytics at a communications services provider writes, “I think that the ease of use is the most valuable feature. I know SQL. I even taught SQL. But new people who come to the tool without in-depth knowledge of SQL or people who do not have an analytics background can still use the tool. It is very easy for these new users to climb the learning curve using SAS Enterprise Guide because of the way it was created with ease-of-use in mind. It is well-oriented to the business user. In no time new users are able to create workflows. Obviously, it is best if they have some basic knowledge of how things work in doing analysis — like the concept of joins, data profiling, and maybe some other SQL-related concepts. But the key here is they do not need to know how it is coded or the exact commands. All the features are available within Enterprise Guide through a drag-and-drop interface so queries can be built without extensive knowledge of how that works behind the scenes. The ease-of-use makes the tool valuable even for someone who is near the beginner level.”

Monica B., an SAS Application Architect at a computer software company, writes, “It has a lot of functionalities. We can build ETL processes. There are clients who are using SAS Enterprise Guide to build ETL processes. They have a SAS-based program that is scheduled to run at a certain frequency to produce some reports for the business. It is a very useful tool for ETL unit tests and functional tests. You can also do data science projects in SAS Enterprise Guide by using different statistics. During my MBA, we used SAS Enterprise Guide for our statistics course.”