IBM Confluent Platform for Z and LinuxONE is an enterprise event streaming platform designed to run on Linux on IBM Z and LinuxONE environments. It enables organizations to create, manage, and process real-time data streams using Apache Kafka-based technologies. The platform provides capabilities for event ingestion, data integration, stream processing, schema management, connectors, and operational management. It supports deployment models including virtual machines, containers, and Kubernetes…
$0
Spotfire Streaming
Score 5.1 out of 10
N/A
The Spotfire Streaming (formerly TIBCO Streaming or StreamBase) platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. Using Spotfire Streaming, users can rapidly build real-time systems and deploy them at a fraction of the cost and risk of other alternatives.
N/A
Pricing
IBM Confluent
Spotfire Streaming
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
No answers on this topic
Offerings
Pricing Offerings
IBM Confluent
Spotfire Streaming
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them:
Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour).
Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour).
Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute).
Govern: Use of Stream Governance is billed based on environment ($/hour).
Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise.
All billing computations are conducted in Coordinated Universal Time (UTC).
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More Pricing Information
Community Pulse
IBM Confluent
Spotfire Streaming
Considered Both Products
IBM Confluent
Verified User
Anonymous
Chose IBM Confluent
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others …
We chose to use the Confluent Platform because they provide enterprise-grade customer service support. Whenever we have trouble setting up or using the service, we can create a ticket for them and it will be resolved pretty fast. Kafka is the open-source software that comes …
We looked at these two, Apama uses it's own languages, meaning more devs to be hired. SAS integrates with the SAS ecosystem, we were already using Tibco
We are using Dataflow (by Google).The development time in Spotfire Streaming is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure Spotfire Streaming can do that. Dataflow can run GCP as a managed service which is why we …
We partner with Spotfire for many other product development projects, so we started with Spotfire Streaming due to our familiarity and comfort with Spotfire.
Great visual programming is very useful and easy to learn. There's no need for learning a specific programming language just need to know business needs and the logic required. We are already able to provide a solution in a timely manner.
Because we are very happy from our BW, EMS and BE products. So after great experience with those products, we decided to trust once again to Spotfire Streaming.
Around 2010 a handful of vendors launched Complex Event Processing frameworks, of which Spotfire Streaming was one. Between competitors such as Coral8, Apama CEP and the open source EsperTech, we liked the well thought out way Spotfire Streaming implemented the CEP paradigm, …
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
Taking data from various sources including files, databases, web services, applying some complex rules, transforming, aggregating and producing a result. This is what Spotfire Streaming does best. - If one needs connectivity to special services as secured databases or web services, building interactive web apps, those are probably tasks that shall be addressed with different tools.
The usability is good in terms that it gets well integrated with the Spotfire suite but the only few issues I have is the tough UI/UX (learning curve, if the project is huge) and unable to find many users and devs to help with the queries. At the end it is solely based on the documentation provided which is never enough
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
We are using Dataflow (by Google).The development time in Spotfire Streaming is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure Spotfire Streaming can do that. Dataflow can run GCP as a managed service which is why we chose that tool for our new product.
While we haven't specifically integrated Spotfire Streaming into our product development, it has allowed us to see the benefits of real-time streaming data.
We have much more visibility into how our longer term roadmap will look and what we should focus on.