Mule works very well with Salesforce and CRMs.
Overall, it is a pretty good product. It is also very scalable.
The solution's initial setup is quite straightforward.
Whether we need data cleansing or data mastering, we get it all in one platform.
The most valuable features are data lineage and the concept of a semantic layer.
The most valuable feature is Data Catalogs.
The tools are very user-friendly.
The process is now simplified because there won't be maintenance. Usually we can take a snapshot of the number I need. We can automate the backup snapshots and we can restore it very quickly. We get many benefits from the application.
The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool.
The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.
Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you.
The compare feature is the most valuable piece of it.
The solution is stable. We've never faced any stability issues.
Equalum has resulted in system performance improvements in our organization. Now, I am ingressing data off of multiple S3 sources, doing data processing, and formatting a schema. This would usually take me a couple of days, but now it takes me hours.
What is Cloud Data Integration?
Cloud Data Integration refers to configuring a number of disparate application programs sharing data in a diverse network, including cloud-based data repositories. The relationship functions directly or through third-party software. Cloud Data Integration software allows an Enterprise to manage, monitor and cleanse data from various web-based and mobile applications.
For IT decision makers, Cloud Data Integration should deliver maximum flexibility, have a reasonable budget and be a good choice for the needs of the Enterprise, both in the present and looking to the future. In most cases, this means the use of application programming interfaces (APIs), particularly RESTful APIs.
IT Central Station professionals are tasked with growing API-led connectivity, as IT focuses on increasingly secure, integrated Cloud platforms with the challenge of connectivity problems across service-oriented architecture (SOA), SaaS and APIs. Compliance with existing regulations and changing governance policies are essential, and IT Central Station professionals can choose from a variety of cloud resources such as SQL Server, MySQL, IBM DB2, and Oracle.
Certain cloud options connect various iterations of the cloud, a hybrid cloud, multi-cloud solutions and on-premise applications directly from the web. Integrating cloud platforms frees IT from having to install software, coding or appliances on-premises. In order for IT Central Station users to consider a cloud solution, there must be agile data transformation, efficient data replication and a clear, customizable dashboard.
Now more than ever in the evolving world of cloud computing, security and compliance are at the forefront. Business in the cloud entails government and global cooperation; therefore IT Central Station user experts have more responsibility and need multiple levels of security and transparency to manage cloud relationships.
Cloud Data Integration must be easy to use and have an intuitive and clear interface. The product(s) must synchronize the cloud-based data and applications through a cloud-based interface. IT Central Station users access and extract data from a centralized location with tools to be able to maneuver data between applications. Data replication and speed to market will help in determining the best Cloud Data Integration tools for IT and DevOps.