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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Confluent

    Score9.1 out of 10
    N/AIBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments.

    $385

    per month

    Panoply

    Score8.6 out of 10
    N/APanoply, from Sqream since the late 2021 acquisition, is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.N/A
    Pricing
    IBM ConfluentPanoply
    Editions & Modules
    Basic
    $0
    Standard
    Starting at ~$385
    per month
    Enterprise
    Starting at ~$1,150
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM ConfluentPanoply
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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).Panoply offers simple, transparent pricing. All plans have a 21-day free trial—no credit card required. You'll get an account executive and data architect to help you get the most out of your smart data warehouse. Pricing starts at $325/month.
    More Pricing Information
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    IBM ConfluentPanoply
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    User Ratings
    IBM ConfluentPanoply
    Likelihood to Recommend
    10.0
    (2 ratings)
    10.0
    (4 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Support Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM ConfluentPanoply
    Likelihood to Recommend
    IBM
    If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.
    Incentivized
    Read full review
    Sqream Technologies
    Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.
    Incentivized
    Read full review
    Pros
    IBM
    • Products work great.
    • Training is available.
    • Customer support is good.
    Incentivized
    Read full review
    Sqream Technologies
    • Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
    • Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
    • Query speed. Automated query optimization has really sped up our dashboards.
    Read full review
    Cons
    IBM
    • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
    Incentivized
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    Sqream Technologies
    • The user interface could use some improvement for analytical tools. Apart from that, it’s great.
    Read full review
    Usability
    IBM
    No answers on this topic
    Sqream Technologies
    It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.
    Read full review
    Support Rating
    IBM
    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.
    Incentivized
    Read full review
    Sqream Technologies
    No answers on this topic
    Alternatives Considered
    IBM
    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.
    Incentivized
    Read full review
    Sqream Technologies
    Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.
    Incentivized
    Read full review
    Return on Investment
    IBM
    • It enables us to develop event driven application.
    • It increases our ability to handle streaming data.
    • It reduces latency of communication.
    Incentivized
    Read full review
    Sqream Technologies
    • Saved time on Redshift setup
    • Saved support costs (monetary and temporal) by not having to set up on-premise
    • Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms
    Read full review
    ScreenShots

    Panoply Screenshots

    Screenshot of Simply click to connect 100 data sources.