We performed a comparison between Databricks and PubSub+ Event Broker based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The setup is quite easy."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"The integration with Python and the notebooks really helps."
"It's easy to increase performance as required."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"We have the ability to scale, collaborate and do machine learning."
"Databricks has helped us have a good presence in data."
"We like the seamless flexibility in protocol exchange offering without writing a code."
"The way we can replicate information and send it to several subscribers is most valuable. It can be used for any kind of business where you've got multiple users who need information. Any company, such as LinkedIn, with a huge number of subscribers and any business, such as publishing, supermarket, airline, or shipping can use it."
"In my assessment of Solace against other products — as I was responsible for evaluating various products and bringing the right tool into companies in the past — I worked with multiple platforms like RabbitMQ, Confluent, Kafka, and various other tools in the market. But I found the event mesh capability to be a very interesting as well as fulfilling capability, towards what we want to achieve from a digital-integration-strategy point of view... It's distributed, yet it is intelligently connected. It can also span and I can plug and play any number of brokers into the event mesh, so it's a great deal. That's a differentiator."
"When it comes to granularity, you can literally do anything regarding how the filtering works."
"The most useful features has been the WAN optimization and probably the HybridEdge, which requires some third-party adapters or plugins. The idea that we can position Solace as a protocol-agnostic message transport fabric is key to our company having all manners of asynchronous messaging protocols from MQ, Kafka, JMS, etc. I really like the WAN optimization: Send once over a WAN, then distribute locally as many times as there are subscribers."
"One of the main reasons for using PubSub+ is that it is a proper event manager that can handle events in a reactive way."
"As of now, the most valuable aspects are the topic-based subscription and the fanout exchange that we are using."
"The event portal and the diversity of deployment options in a hybrid landscape are the most valuable features."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"It's not easy to use, and they need a better UI."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The ease of management could be approved. The GUI is very good, but to configure and manage these devices programmatically in the software version is not easy. For example, if I would like to spin up a new software broker, then I could in theory use the API, but it would require a considerable amount of development effort to do so. There should be a tool, or something that Solace supports, that we could use for this, e.g., a platform like Terraform where we could use infrastructure as code to configure our source appliances."
"We have requested to be able to get into the payload to do dynamic topic hierarchy building. A current workaround is using the message's header, where the business data can be put into this header and be used for a dynamic topic lookup. I want to see this in action when there are a couple of hundred cases live. E.g., how does it perform? From an administration perspective, is the ease of use there?"
"One of the areas of improvement would be if we could tell the story a bit better about what an event mesh does or why an event mesh is foundational to a large enterprise that has a wide diversity of applications that are homegrown and a small number off the shelf."
"For improvements, I would suggest increasing the max payload size to a limit of 100MB or more. The current max payload size is limited to 5MB."
"Some of the feature's gaps with some of the open-source vendors have been closed in a lot of ways. Being more agile and addressing those earlier could be an area for improvement."
"The licensing and the cost are the major pitfalls."
"The deployment process is complex."
"I would like them to design topic and queue schemas, mapping them to the enterprise data structure."
Databricks is ranked 2nd in Streaming Analytics with 78 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Databricks is rated 8.2, while PubSub+ Event Broker is rated 8.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of PubSub+ Event Broker writes "Event life cycle management changes the way a designer or architect will design a topic and discover what is available". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, ActiveMQ, VMware Tanzu Data Services and Red Hat AMQ. See our Databricks vs. PubSub+ Event Broker report.
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