Microsoft offers the Azure Logic Apps as a cloud-based integration service, supporting data and application integration.
$0
per execution
HCL DataConnect
Score 6.0 out of 10
Mid-Size Companies (51-1,000 employees)
HCL DataConnect (formerly Actian DataConnect) is a hybrid integration solution that enables users to integrate anything, anywhere, anytime. It can be deployed in on-premise, cloud, and/or hybrid environments and offers quick onboarding. With its emphasis data quality, data reuse, adaptability and self-service integration, DataConnect is designed to support rapid onboarding and deliver the fast time to value.
N/A
SSIS
Score 7.6 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
N/A
Pricing
Azure Logic Apps
HCL DataConnect
SQL Server Integration Services (SSIS)
Editions & Modules
Actions
$0.000025
per execution
Standard Connector
$0.000025
per execution
Enterprise Connector
$0.001
per execution
Integration Account - Basic
$0.42
per hour
Integration Account - Standard
$1.37
per hour
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Logic Apps
HCL DataConnect
SSIS
Free Trial
Yes
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Logic Apps
HCL DataConnect
SQL Server Integration Services (SSIS)
Features
Azure Logic Apps
HCL DataConnect
SQL Server Integration Services (SSIS)
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Azure Logic Apps
8.5
16 Ratings
6% above category average
HCL DataConnect
-
Ratings
SQL Server Integration Services (SSIS)
-
Ratings
Pre-built connectors
9.416 Ratings
00 Ratings
00 Ratings
Connector modification
9.015 Ratings
00 Ratings
00 Ratings
Support for real-time and batch integration
8.214 Ratings
00 Ratings
00 Ratings
Data quality services
8.314 Ratings
00 Ratings
00 Ratings
Data security features
7.815 Ratings
00 Ratings
00 Ratings
Monitoring console
8.314 Ratings
00 Ratings
00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Logic Apps
-
Ratings
HCL DataConnect
9.5
2 Ratings
14% above category average
SQL Server Integration Services (SSIS)
7.0
56 Ratings
16% below category average
Connect to traditional data sources
00 Ratings
9.92 Ratings
9.056 Ratings
Connecto to Big Data and NoSQL
00 Ratings
9.01 Ratings
5.043 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Logic Apps
-
Ratings
HCL DataConnect
9.9
2 Ratings
20% above category average
SQL Server Integration Services (SSIS)
6.8
56 Ratings
17% below category average
Simple transformations
00 Ratings
10.02 Ratings
9.056 Ratings
Complex transformations
00 Ratings
9.92 Ratings
4.755 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Logic Apps
-
Ratings
HCL DataConnect
9.9
2 Ratings
24% above category average
SQL Server Integration Services (SSIS)
7.5
54 Ratings
4% below category average
Data model creation
00 Ratings
10.01 Ratings
9.028 Ratings
Metadata management
00 Ratings
10.01 Ratings
6.035 Ratings
Business rules and workflow
00 Ratings
9.92 Ratings
7.045 Ratings
Collaboration
00 Ratings
9.82 Ratings
9.040 Ratings
Testing and debugging
00 Ratings
9.92 Ratings
6.351 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Microsoft Azure Logic Apps was a perfect solution for us to integrate the apps and products we used in our business to create automated workflows which were also complex and very advanced. This was a very new feature for us, and also it reduced our software costs massively and also saved us a lot of time. With the crisis, we were in back then Azure turned out to be the best cost-friendly solution because we only had to pay for what we used!
The choice to use Actian DataConnect really comes down to pricing and the type of integration project you are performing, specifically with the requirements, whether you want the integration to be on-premise or in the cloud, can you install agents on your servers etc. For integration tools it runs head to head with its competitors.
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.
Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.
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.
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
I found them easy to use and adapt to different scenarios, from Azure management to link processes between REST APIs. Together with Function Apps, they're probably the most useful resource type for Azure. Today, I use them in production, and that's a key component: stable, secure, easy to manage, and maintain.
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.
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.
Azure Logic Apps are backed by Azure and Microsoft. There is a wealth of information on the internet about both of these platforms. In addition to this Microsoft has a huge bush to using this platform and have offered many solutions and support options to the user. The only drawback is that it is a fairly new platform so the 3rd party information tends to be lacking.
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.
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
This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up and use is by far the most popular.
Data Integrator was initially a part of a package deal for us with our new Student Information System. It was chosen prior to my arrival at the institution. Since I discovered we have SQL Server licenses, we have decided to use SSIS instead since I have a background in the MSBI stack and SSIS appears to be more straightforward (process flow philosophy vs "map" philosophy.)
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
Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.
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.