Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows to save engineering time/week and drive faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. The platform boasts 500 data-driven companies spread across 35+…
$149
per month
SSIS
Score 7.4 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
N/A
Pricing
Hevo Data
SQL Server Integration Services
Editions & Modules
Free
$0
per month
Starter
$149 to $999
Per Month (Paid Yearly)
Business
Custom Pricing
No answers on this topic
Offerings
Pricing Offerings
Hevo
SSIS
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Hevo offers a Free Plan and a 14-day Free Trial for all the paid plans.
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Community Pulse
Hevo Data
SQL Server Integration Services
Features
Hevo Data
SQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Hevo Data
-
Ratings
SQL Server Integration Services
7.5
55 Ratings
9% below category average
Connect to traditional data sources
00 Ratings
9.055 Ratings
Connecto to Big Data and NoSQL
00 Ratings
6.042 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Hevo Data
-
Ratings
SQL Server Integration Services
7.8
55 Ratings
3% below category average
Simple transformations
00 Ratings
10.055 Ratings
Complex transformations
00 Ratings
5.554 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Hevo Data
-
Ratings
SQL Server Integration Services
7.6
53 Ratings
3% below category average
Data model creation
00 Ratings
9.028 Ratings
Metadata management
00 Ratings
7.034 Ratings
Business rules and workflow
00 Ratings
7.044 Ratings
Collaboration
00 Ratings
9.040 Ratings
Testing and debugging
00 Ratings
6.050 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
It is of great help for unstructured data sources. The way Hevo Data flattens the high nested data is amazing. Schema management is also good by Hevo Data. The way it's tell about the data type and then we can identify any error in the model. Additionally, It is very easy to setup for any new user and once model is created then we do not have to worry about the script maintenance and updating the script daily.
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.
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
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.
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
1. Cost efficient 2. Creation of automated pipeline 3. Can load data from multiple data sources 4. Updates data in near real-time - We were able to get near real time insights from the data model which we have created in hevo 5. It has good integration with different BI tools
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
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.