What users are saying about
30 Ratings
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Score 8.2 out of 100
214 Ratings
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Score 8.3 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

SSIS

Well suited: all data extraction from file (spreadsheet-like) and RDBMS data sources, mix up them into one integrated meta-data source for future processing.Less appropriate: big key-value data storages processed slowly, and hard to make data mining through uniting non-RDBMS and RDBMS data sources naive way. The data from non-SQL databases should be prepared accordingly to be represented in a table-like way if possible.
Vladimir Salnikov | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Databricks Lakehouse Platform
SSIS
7.8
Connect to traditional data sources
Databricks Lakehouse Platform
SSIS
8.9
Connecto to Big Data and NoSQL
Databricks Lakehouse Platform
SSIS
6.8

Data Transformations

Databricks Lakehouse Platform
SSIS
9.0
Simple transformations
Databricks Lakehouse Platform
SSIS
9.6
Complex transformations
Databricks Lakehouse Platform
SSIS
8.5

Data Modeling

Databricks Lakehouse Platform
SSIS
7.6
Data model creation
Databricks Lakehouse Platform
SSIS
7.7
Metadata management
Databricks Lakehouse Platform
SSIS
7.8
Business rules and workflow
Databricks Lakehouse Platform
SSIS
7.7
Collaboration
Databricks Lakehouse Platform
SSIS
7.2
Testing and debugging
Databricks Lakehouse Platform
SSIS
7.9
feature 1
Databricks Lakehouse Platform
SSIS
7.0

Data Governance

Databricks Lakehouse Platform
SSIS
7.8
Integration with data quality tools
Databricks Lakehouse Platform
SSIS
8.7
Integration with MDM tools
Databricks Lakehouse Platform
SSIS
6.9

Pros

Databricks Lakehouse Platform

  • It supports all data science programming languages like Python and R
  • it takes very few minutes to deploy models into production
  • it has tools that ensures collaborations between developers
Kofi Joshua | TrustRadius Reviewer

SSIS

  • Ease of use - can be used with no prior experience in a relatively short amount of time.
  • Flexibility - provides multiple means of accomplishing tasks to be able to support virtually any scenario.
  • Performance - performs well with default configurations but allows the user to choose a multitude of options that can enhance performance.
  • Resilient - supports the configuration of error handling to prevent and identify breakages.
  • Complete suite of configurable tools.
Anonymous | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

SSIS

  • SSIS has been a bit neglected by Microsoft and new features are slow in coming.
  • When importing data from flat files and Excel workbooks, changes in the data structure will cause the extracts to fail. Workarounds do exist but are not easily implemented. If your source data structure does not change or rarely changes, this negative is relatively insignificant.
  • While add-on third-party SSIS tools exist, there are only a small number of vendors actively supporting SSIS and license fees for production server use can be significant especially in highly-scaled environments.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

SSIS

SSIS 10.0
Based on 3 answers
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
Luca Campanelli | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

SSIS

SSIS 9.2
Based on 8 answers
SQL Server Integration Services is a relatively nice tool but is simply not the ETL for a global, large-scale organization. With developing requirements such as NoSQL data, cloud-based tools, and extraordinarily large databases, SSIS is no longer our tool of choice.
Anonymous | TrustRadius Reviewer

Performance

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

SSIS

SSIS 8.7
Based on 7 answers
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
Steven Gockley, MBA, MCSA | TrustRadius Reviewer

Support Rating

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

SSIS

SSIS 8.1
Based on 8 answers
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.
Chris Morgan | TrustRadius Reviewer

Implementation Rating

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

SSIS

SSIS 10.0
Based on 1 answer
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
Luca Campanelli | TrustRadius Reviewer

Alternatives Considered

Databricks Lakehouse Platform

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.
Ann Le | TrustRadius Reviewer

SSIS

Look for where you are going to load the data and from where are you extracting it. A lot of those who sell you the DB already have tools for ETL. I have heard good things at an enterprise level from great colleagues about Informatica, but honestly, I prefer SSIS.Although I did like TIBCO Jaspersoft and it can be mixed with TIBCO Spotfire for data analysis. If your ERP is SAP, then you must keep in mind using SAP BusinessObjects. As for free tools, and if you have a great and constant team of scripting (Perl, Python) engineers, then you can think about going open source.
Jose Pla | TrustRadius Reviewer

Return on Investment

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

SSIS

  • I use SSIS to automate tasks that I'm repeatedly asked to do. "Hey, can you go into the system and close any open orders that we've fully filled?" Sure....then I schedule a package to do that for me every hour so I'm never asked again. It saves me time, which gives value to the company.
  • It removes the risk of human error. When people build files and send them, there's the risk that it doesn't happen the same way every time or gets forgotten. With SSIS, you spend some up front time building a process, but then you deploy it and forget it (unless it emails you that there was an error. You are putting error handling in your ETL, right?). Very repeatable and consistent business solution.
Greg Goss | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

SSIS

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

SSIS Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Databricks Lakehouse Platform
8.0
SSIS
8.5

Likelihood to Renew

Databricks Lakehouse Platform
SSIS
10.0

Usability

Databricks Lakehouse Platform
9.0
SSIS
9.2

Performance

Databricks Lakehouse Platform
SSIS
8.7

Support Rating

Databricks Lakehouse Platform
SSIS
8.1

Implementation Rating

Databricks Lakehouse Platform
SSIS
10.0

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