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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Confluent

    Score8.6 out of 10
    N/AIBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments.

    $385

    per month

    Nextqore AI Data Preprocessor

    N/A
    Small Businesses (1-50 employees)
    Nextqore is an AI Data Preprocessor designed to get enterprise data ready for AI before it reaches any model. What It Does The platform is built on two standalone products. AnySource Data Combiner ingests and unifies data from disparate enterprise systems into a single, clean feed. Data Context Builder adds semantic and relational context, ontology, and full data lineage to that combined data. Each product solves a distinct problem and can be deployed on…

    $1,200

    per month per installation

    Pricing
    IBM ConfluentNextqore AI Data Preprocessor
    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 ConfluentNextqore AI Data Preprocessor
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup fee$1,200
    Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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).Nextqore uses a consumption-based pricing model with three subscription tiers, priced by monthly data volume therein aligning with an enterprises consumption growth. Standard is $1,200/month for up to 10,000 unique rows processed; Professional is $2,800/month for up to 30,000 rows; Enterprise is $10,000/month for up to 100,000 rows. All three tiers include both core products (AnySource Data Combiner and Data Context Builder) plus Analytics, Visualization, Notifications, and the Enterprise AI Connector — the tiers differ only in volume limits and author/role counts, minimally by feature access. There is no minimum commitment period. Usage beyond the included volume is billed per additional 1,000 rows, at a rate that decreases by tier ($120 on Standard, $100 on Professional, $80 on Enterprise), so unit costs fall as consumption grows. Add-ons include a knowledge-graph-based Ontology/Business Schema layer ($500/month on Standard and Professional, included on Enterprise) and Machine Learning model add-ons priced per model per year ($1,300–$4,500 depending on tier). Organizations with non-standard volume, deployment, or SLA requirements can request a custom configuration directly from Nextqore.
    More Pricing Information
    Community Pulse
    IBM ConfluentNextqore AI Data Preprocessor
    Considered Both Products
    IBM
    No answer on this topic
    Nextqore
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    17 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    14 Answers
    No answers on this topic
    Happy with the feature set
    94%
    Happy with the feature set
    17 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    86%
    Lived up to sales and marketing promises
    12 Answers
    No answers on this topic
    Implementation went as expected
    88%
    Implementation went as expected
    15 Answers
    No answers on this topic
    Best Alternatives
    IBM ConfluentNextqore AI Data Preprocessor
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    Amazon SNS
    Score8.8 out of 10
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    Score8.8 out of 10
    Toad Data Point
    Score8.3 out of 10
    Enterprises
    Google Cloud Pub/Sub
    Score8.8 out of 10
    Datameer
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM ConfluentNextqore AI Data Preprocessor
    Likelihood to Recommend
    7.6
    (18 ratings)
    -
    (0 ratings)
    Usability
    7.4
    (16 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM ConfluentNextqore AI Data Preprocessor
    Likelihood to Recommend
    IBM
    Very reliable product and help with streaming messages without fail which is a significant confidence booster as an SRE leader. Would recommend the product considering the fact that now it is backed by IBM in addition to all IBM Confluent was doing well before the acquisition. Has been a game changer for our organization
    Incentivized
    Read full review
    Nextqore
    No answers on this topic
    Pros
    IBM
    • It works really well in providing data context for our customers.
    • It is helpful in real time data streaming.
    • It is really wonderful tool for doing data validations and massaging the data.
    Incentivized
    Read full review
    Nextqore
    No answers on this topic
    Cons
    IBM
    • Iit needs to improve in AI agents usage.
    • It needs to be more user friendly.
    • It is too complicated for beginners.
    Incentivized
    Read full review
    Nextqore
    No answers on this topic
    Usability
    IBM
    Kafka and Schema Registry are the rock solid fully managed offerings from IBM Confluent Cloud. Other than that the rest of the offerings do not work as expected.
    Incentivized
    Read full review
    Nextqore
    No answers on this topic
    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
    Nextqore
    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
    Nextqore
    No answers on this topic
    Return on Investment
    IBM
    • IBM Confluent helps us get data moving from system to system at near real time.
    • IBM Confluent makes pushing data into a data lake easy - analytics, targeted deals, etc
    • The RBAC and ACL setup helps us govern and secure our data, even between teams/applications.
    Incentivized
    Read full review
    Nextqore
    No answers on this topic
    ScreenShots

    Nextqore AI Data Preprocessor Screenshots

    Screenshot of Nextqore AI Deployment FrameworkScreenshot of Nextqore AI Preprocessor, Products and Deployment results