What users are saying about
127 Ratings
85 Ratings
127 Ratings
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Score 8.7 out of 100
85 Ratings
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Score 7.9 out of 100

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young | TrustRadius Reviewer

Boomi

Dell Boomi is well suited for integrating between ERP systems, especially Netsuite, SAP, Salesforce. Built in access to platform API, Auth to API, access to data or triggers/actions, etc. speeds delivery. There are many connectors available making this process faster. It is best suited to an organization that needs to rapidly roll out new integrations or changes on a regular basis. It's less well suited when larges amounts of data need to be processed very quickly in a parallel method. It's possible to handle things in parallel, but because of the workflow connectors and design process you are much more likely to build something that is handling one record at a time sequentially instead of building a process that is processing hundreds of records simultaneously for real time processing. It's also less well suited where complex code is the common path for integration as it does not connect to source control and common software development processes for managing code/test/deploy. (Those things can be used, but it requires additional effort to manage.)
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Cloud Data Integration

Apache Spark
Boomi
7.8
Pre-built connectors
Apache Spark
Boomi
8.7
Connector modification
Apache Spark
Boomi
6.4
Support for real-time and batch integration
Apache Spark
Boomi
9.1
Data quality services
Apache Spark
Boomi
7.9
Data security features
Apache Spark
Boomi
7.5
Monitoring console
Apache Spark
Boomi
7.3

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy | TrustRadius Reviewer

Boomi

  • Pre-built connectors to almost anything which greatly reduce time to release of your integration needs.
  • Easy to use development platform with drag&drop features. Non-technical people could build simple integration processes in no time.
  • Great user community where you can get quick help if needed. Boomi people hang around there a lot.
Cristian Bodnarasec | TrustRadius Reviewer

Cons

Apache Spark

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham | TrustRadius Reviewer

Boomi

  • The dashboards are limited
  • Running Low latency improves performance but makes resolving issues very difficult
  • Unable to sign up for alerts for one process only. Alerts go out at an account level. If you want to get notifications for a process you need to build it into your application.
  • The folder structure of components can get messy if not well governed.
  • Easy to create duplicate components and not realizing that someone else in your company already created one.
  • Scripting could be improved. You don't know if you have errors in your code until you run the process.
Adam White | TrustRadius Reviewer

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

Boomi

Boomi 10.0
Based on 9 answers
Dell Boomi has provided us with the ability to connect our campus together using our various existing platforms. There are many supported features and have yet to run into something that we cannot do. Its user interface is very intuitive which would allow users to begin developing fairly easily. There is a myriad of resources available
Anonymous | TrustRadius Reviewer

Usability

Apache Spark

Apache Spark 8.7
Based on 3 answers
Apache integrates with multiple big data frameworks. It does not exert too much load on the disks. Moreover, it is easy to program and use. It reduces the headache of using different applications separately through its high-level APIs. Big data processing has never been as easy as it is with Apache Spark.
Partha Protim Pegu | TrustRadius Reviewer

Boomi

Boomi 8.6
Based on 5 answers
My IT and Finance teams have noted that setting up the tool is a breeze. Dell Boomi has never caused an issue during a system implementation that I am aware of. We are pleased with the tool and recommend others consider it.
Anonymous | TrustRadius Reviewer

Performance

Apache Spark

No score
No answers yet
No answers on this topic

Boomi

Boomi 8.0
Based on 10 answers
The atom sphere takes a time to load, when I open a process or when I open a log. One more slow processing is when I import objects from NetSuite.
About the performance of processing, it looks like Boomi takes a time to initialize some things such as connectors before starting the process. This is also performance we have.
Phi Hoang | TrustRadius Reviewer

Support Rating

Apache Spark

Apache Spark 8.3
Based on 6 answers
1. It integrates very well with scala or python.2. It's very easy to understand SQL interoperability.3. Apache is way faster than the other competitive technologies.4. The support from the Apache community is very huge for Spark.5. Execution times are faster as compared to others.6. There are a large number of forums available for Apache Spark.7. The code availability for Apache Spark is simpler and easy to gain access to.8. Many organizations use Apache Spark, so many solutions are available for existing applications.
Yogesh Mhasde | TrustRadius Reviewer

Boomi

Boomi 7.5
Based on 4 answers
We have always had a great experience with Dell customer service across a variety of products and services in the past and Dell Boomi API Management is no exception. We have found them very responsive and helpful both during the initial sales and setup process as well as on an ongoing basis through our experience once we were customers.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Apache Spark

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
Anonymous | TrustRadius Reviewer

Boomi

Our team has used Actian DataConnect since the Mid 1990's. It was formerly known as Data Junction and then Pervasive Data Integrator. We looked at Boomi as an additional tool to aid in our Integrations. We did compare it to Informatica and thought it was a better fit for our customers.

We have been using Boomi and doing great. I like the way we can break down data into small units of work. It simplifies how to handle multi-conditional pathing and the unit of work level.

Currently, I am working at SFCG, using various tools to build integrations into Oracle CX products. When we started kicking the tires on Boomi and in the training and development since that time, I've tried a series of processes out that have given me trouble in other tools. Below is a brief recap of my experience and growing admiration for the way in which this tool has made my job easier.

My first goal with using Boomi was to connect to an instance of CRM On-Demand (a task that can on other platforms be a time-consuming endeavor). What I found was a useful wizard, pictured below, with a series of pop-up steps to follow.
In other tools, I have spent more time in trying to define the schemas, than actually completing the maps that use them. Boomi reduced that time from my process. This is one small example of many demonstrating how my teammates and I feel as if we were working in black and white and are now working in color with Boomi AtomSphere. Tasks I've taken for granted are complex, time-consuming and meticulous are simplified, streamlined and transformed with powerful features like Boomi Suggest - a handy feature that leverages the collective intelligence of the Boomi community to suggest which fields should be mapped in a Data Map.

You don't need to take my word for it, another member of our team, Li Mo started building out an integration to Oracle Sales Cloud, using the SOAP API Connector. He was able to do a complete integration to insert a record into the Account entity, and it took about an hour and a half.

Note: it had been about 1 month since we both actually took the training courses. I believe we choose an additional tool that plays to the inner strengths of working in the cloud, and I can not wait until I start full blown to continue development on new integration projects using Dell Boomi AtomSphere.

Recommendations to other buyers: Try it to see if it fits your needs.
David Byrd | TrustRadius Reviewer

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges | TrustRadius Reviewer

Boomi

  • It has allowed us to scale significantly without having to add headcount, specifically those geared towards data entry. We went from a $10m ARR business to $200m ARR business with the same amount of Order Processors and 12x amount of transactions by leveraging Boomi to perform a lot of the work, and then having the Order Processing team to simply review that the transaction was processed successfully.
Jake J. Darley | TrustRadius Reviewer

Pricing Details

Apache Spark

General

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

Apache Spark Editions & Modules

Additional Pricing Details

Boomi

General

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

Boomi Editions & Modules

Edition
Boomi$5501
  1. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Apache Spark
8.6
Boomi
8.0

Likelihood to Renew

Apache Spark
Boomi
10.0

Usability

Apache Spark
8.7
Boomi
8.6

Performance

Apache Spark
Boomi
8.0

Support Rating

Apache Spark
8.3
Boomi
7.5

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