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.
The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.
Altair Panopticon is ranked 23rd in Streaming Analytics while Striim is ranked 19th in Streaming Analytics. Altair Panopticon is rated 0.0, while Striim is rated 0.0. On the other hand, Altair Panopticon is most compared with Tableau, whereas Striim is most compared with Apache Flink, Confluent and Spring Cloud Data Flow.
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.