We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"The pricing depends on the usage itself."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The price is okay. It's competitive."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
Earn 20 points
Comprehensive streaming processing and visualization of real-time operational, trading, and market data
Delays in decision-making are costly in real-time businesses like electronic trading of equities, fixed income, FX, futures, or commodities, as well as other time-critical industries like telecommunications, energy, manufacturing, and logistics.
Waiting for end-of-day reports means you’re likely to miss profitable opportunities, or fail to respond to threats to regulatory compliance or profitability until it’s much too late.
Panopticon lets business users — the people closest to the action — build, modify, and deploy sophisticated streaming analytics and data visualization applications using a fully drag-and-drop interface. They can connect to virtually any data source, including real-time streaming feeds and time series databases, develop complex stream processing programs, and design visual user interfaces that give them the perspectives they need to make insightful, fully-informed decisions based on massive amounts of fast-changing data.
It’s no wonder that seven of the world’s top ten banks use Panopticon to monitor and analyze real-time trading and market data.
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.
Altair Panopticon is ranked 19th in Streaming Analytics while Databricks is ranked 1st in Streaming Analytics with 24 reviews. Altair Panopticon is rated 0.0, while Databricks is rated 8.0. On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Altair Panopticon is most compared with Tableau, Qlik Sense and ELK Kibana, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dremio.
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.