IBM Data Replication vs. MuleSoft Anypoint Platform vs. SQL Server Integration Services (SSIS)

IBM InfoSphere Data Replication replication allows work on the daily operation and analyzes the replicated data in real-time with no downgrade of performance. This happens thanks to the incremental data load using the log files instead of querying the database for any changes. It serves as an online backup of the database uploading the data to the cloud in real-time.

Incentivized

MuleSoft Anypoint Platform is best tool in the market for developing APIs with complex structures communicating with various different types of applications including web applications as well as legacy applications. Also applications including database connectivity for fetching and updating data in the DB tables. I cant think of any scenario which MuleSoft Anypoint Platform could not be used for developing the integrations.

Incentivized

As I mentioned earlier SQL Server Integration Services is suitable if you want to manage data from different applications. It really helps in fetching the data and generating reports. Its automation make it very easy and time efficient. It works well with large database as well. But it doesn't work well with real time data, it will take some time to gather the real time data. I would not recommend using it in a real time/fast-paced environment.

Incentivized

• Performance to detect changes using Incremental Data Delivery with logs.
• Update data in the cloud in real time.
• Saves data in clusters using Apache Hadoop

Incentivized

• API Manager provides easy API Policy Governance. You do not have to manage multiple platforms for managing the policies.
• Supports hybrid Mule EBS environments. You can configure both CouldHub-based and on-premise-based API using Mulesoft API manager in a similar manner.
• It's very easy to implement API proxy.
• User friendly UI.
• Single platform to manage all.

Incentivized

• Standard ETL use cases for daily loads
• Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
• Creating outgoing data files and writing them to Vendor FTPs
• Easy Active Directory integration for seamless connections to SQL Server
• CI/CD by hosting the code on visualstudio.com

Incentivized

• Better documentation and examples of Console and API.
• Integration with machine learning to analyze the data.
• Examples of how to replicate data from multiple sources and databases to one data lake.

Incentivized

• Has more features than what we really need so we're paying for more than we use. Sort of like paying for an Abrams tank when all we really need is a Toyota Corolla.
• Not a value product, tends to be expensive.
• Takes a while for developers to learn to use Mulesoft Anypoint.

Incentivized

• Connection managers for online data sources can be tricky to configure.
• Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
• Mapping destination using OLE DB command is difficult as destination columns are unnamed.
• Excel or flat file connections are limited by version and type.

Incentivized

Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure

Incentivized

There’s a lot of learning curve at the beginning when it comes to building the code and everything. In terms of usability, I’d say once you get used to it, it’s fine — but it’s not very easy during the initial stages.

Incentivized

SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.

Incentivized

SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.

Incentivized

Anypoint Platform support is very responsive. There is also a huge knowledge base and an active online forum where answers to most questions can be found. When needed support engages the engineering group so adequate solutions or workarounds are always provided.

Incentivized

The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.

Incentivized

The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools

Incentivized

Once we have moved all of our system integration APIs to the MuleSoft Anypoint Platform, we will need to communicate with a wide variety of external systems. All of our business and service logic is stored in the aforementioned core systems. Anypoint Platform (and all of our APIs) makes it easy to connect to various other platforms. In order to link to these many other systems, connectors and/or components are utilized, and they are simple to configure and integrate.

Incentivized

I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer

Incentivized

• Analize the daily data in real time using data lakes and Machine Learning.
• Performance of the replication without affecting the relational database of the applications.
• Use of Apache Hadoop for data clustering improving performance.

Incentivized

• Mulesoft can be used to provide an integration platform to a large number of systems like Salesforce, ODBC, JDBC, SAP, Mongo DB, etc.
• An excellent option to develop microservices and real-time integrations.
• Not as robust in handling large data volumes, Informatica is better in that respect.

Incentivized

• Without this, we would have to manually update a spreadsheet of our SQL Server inventory
• We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
• We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.

Incentivized