We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"The price is okay. It's competitive."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"There are different versions."
"The pricing depends on the usage itself."
Earn 20 points
Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.
Databricks is ranked 1st in Streaming Analytics with 24 reviews while Software AG Apama is ranked 15th in Streaming Analytics. Databricks is rated 8.0, while Software AG Apama is rated 0.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas Software AG Apama is most compared with Apache Spark Streaming, Apache Flink, TIBCO Streambase CEP, IBM MQ and Aiven for Apache Kafka.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.