Data understanding is a crucial part of any business as it lays a foundation for what to do in the future. It will help us explore data in meaningful ways. Presenting data from multiple sources into useful information is a challenging task. Data being in different formats and different places make it difficult for the Organizations to pull it all together and perform analytics on it. To perform aggregations on data, the data should be in one place. This is where a Data Warehouse or a Data Lake will help solve the data centralization problem. A Data Lake or Data Warehouse allows us to load data from different sources. We can then make the data understandable by running analysis and analytics on top of the data. We can also apply prediction on historic data to predict future trends. Alteryx and MuleSoft are two such tools that help developers work with data in a lot of ways. In this post, I will give you a basic understanding of these tools. I will give brief information on how these tools are different from each other.
Alteryx is a self-service data analytics platform that is useful for data discovery, data preparation, deployment, and share analytics. It catalogs all the data making it searchable and trackable. users will have increased visibility for governance. Users can automate manual tasks into analytic workflows. These analytic workflows can be used as Extract, Transform, Load (ETL). Alteryx supports both code-less and advanced modeling with code. Not only data analytics, but it also supports predictive, spatial, and statistical analytics. Alteryx includes four component.
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MuleSoft is an integration platform that connects data from on-premises and cloud computing environments. It can connect applications, data, and devices through an API approach. It creates a communication layer between two systems with the bidirectional flow. Users can easily build integration flows on the cloud. MuleSoft allows data to transform data using machine learning. It also enables users to employ CI/CD pipelines. The following are some of the services that the MuleSoft offers.
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Both Alteryx and MuleSoft are great tools in their own way. Let us look at some of the differences between these tools.
Alteryx can connect to a variety of data sources like data warehouses, file formats, databases, data lakes, etc. It can read, write, or read and write, depending on the data source. It offers connectors for more than 80 data sources. Amazon S3, Hadoop, Databricks, Google BigQuery, IBM DB2, Microsoft Azure Data Lake Store, JSON, MySQL, MongoDB, SAP Hana, Salesforce, Text, Zip, Tableau Data Extract are some of the connectors that Alteryx provides.
MuleSoft offers a wide range of connections with assets and tools such as storage resources, databases, SaaS platforms, etc. It offers a total of around 300 connectors. Apache Kafka, Salesforce, Workday, Microsoft Dynamics 365, MongoDB, ServiceNow, Redis, Twilio, SAP, NetSuite, Amazon DynamoDB, Apache Cassandra, Azure Data Lake Storage, FTP, FTPS, Hadoop are some of the popular MuleSoft connectors. However, MuleSoft does not provide connectors for cloud data warehouses.
Alteryx is the most popular data transformation tool. It provides a graphical interface with several actions as icons. Users can drag and drop the icons into the workspace to create a workflow. Once a data source is connected, users can perform data preparation tasks like setting data types, clean up missing values, apply transformer functions on the data, one-hot encoding, and many more. Users can also write macros in XML, and custom functions in C++ to add them to the workflow.
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Alteryx has various pricing models for various components.
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Alteryx is a popular data analytics tool that mainly focuses on changes, ETL, and Data prep. We can use this tool for robust digital transformation. We can also use it as an ETL tool to extract, transform, and load data to the storage. Also, it consolidates and cleans data before it is available for business use.
Mulesoft is an ESB tool that mainly integrates various SaaS and enterprise-level apps. It supports both on-premise and on-cloud apps. Therefore, it easily automates an enterprise's workflow and system. Also, it helps to adapt to new business changes and activities quickly.
It is not a database but a data analytics tool that reads, processes, analyzes and develops data. Alteryx uses some replication keys for replicating the entire table. Also, it uses the incremental process using the SELECT option. This process is helpful when there are massive datasets.
Database replication is also possible using MuleSoft. For this, it uses the incremental replication process, which purely depends on the “SELECT” statements that are manually written.
Alteryx doesn't provide the ability to add any new data source for the customers. The data sources it fully supports include Amazon Redshift, MySQL, Oracle, Snowflake, etc.
It holds a database connector that helps to connect with any JDBC and run various SQL operations. Moreover, Mule also supports multiple data sources like Oracle, MySQL, etc.
Alteryx can connect with data warehouses as well as data lakes and can read/write data. It can easily link with Azure Data Lake store resources to read data files into the Alteryx workflow.
MuleSoft may not easily connect to the data warehouses but can connect with the Data lakes. It well understands the importance of data management and integration process.
Alteryx offers a transparent pricing system with a 14-day trial offer. After the trial period ends, the user has to pay for the components he uses. It may vary based on the usage of features. Moreover, it has an annual payment system with upfront costs for the purchases made. Alteryx has a separate payment system for individuals and teams.
Mulesoft doesn't have a transparent pricing system, but it also offers a 30-day trial period for its users. After this period, the service is chargeable under three plans: gold, platinum, and titanium. The prices and services may vary depending on the plans opted for.
Alteryx SLAs are generally controlled by the Customer Agreements and only apply to the Cloud Services of Alteryx. It is specifically available for Alteryx Cloud Services only.
In MuleSoft, SLA is a category of user access defined for the API. There are different types of SLA policies applicable in MuleSoft.
Data sharing facility in Alteryx has less usage compared to Mule.
Mule provides convenience in sharing complex, routine, or crucial configuration bits. Further, it supports data sharing using the JDBC database for Object Store resolution.
Alteryx consists of the REST API.
MuleSoft consists of Runtime Manager REST API and CloudHub API.
Alteryx has a community, where it provides resolution documents for common issues. They also offer customer support through an email ticketing system with different support levels - standard, advanced, and premium. Alteryx provides several learning guides and starter kits to help users start working with the Alteryx components. It also has a training academy, known as Alteryx Academy, through which they provide live training, interactive lessons, and weekly challenges.
MuleSoft provides customer support through several mechanisms such as general forums, discussion groups, developer blogs, community, telephone, and email support. They provide a variety of training materials through training forums and resources. They provide instructor-led training, blog posts, quick start guides, product documentation, etc. They also conduct webinars now and then.
Hence, you have gone through the critical differences between Alteryx and MuleSoft. Alteryx is a data analytics tool, and Mulesoft is a popular integration platform that combines the on-premise and on-cloud spaces. Both are handy tools and do great in their areas. However, it is difficult to choose the right tool for your entity. It highly depends on the data sources you choose for your tasks. Also, you need to check the connectors provided by the tool. So you can check the features and other vital aspects of both tools and decide to use the best one. I hope this article helped you to understand well about these popular tools.
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Alteryx has many advantages. It helps in speeding up the entire process and automates the same. Moreover, it gives an excellent user experience, has vast community support, great computing speed and spatial resolutions.
Alteryx enables users to combine different data sources from various locations virtually. Also, it helps other teams to build processes much more efficiently, with less prone to errors and less risk. However, it is much easier for business users even if they don't have an IT background.
Alteryx supports data types such as Date & time, String, Boolean, and Numeric. It also includes spatial objects.
Alteryx is popularly a data analytics tool helpful for visual workflow. But it also contains the ETL (Extract, Transform, Load) capabilities and geospatial processing.