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    Kinetica

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    Sold by: Kinetica 
    Kinetica is an analytic database for fusing data across streams and data lakes to unlock value from spatial and temporal data at scale and speed.

    Overview

    Ready to experience the Database for Time & Space?

    Data from sensors and machines is inherently geospatial and time series in nature. Equip your business to harness this data and create value with this set of capabilities from Kinetica:

    • Real-time analytics database: Kinetica extends the value of streaming tools like Kafka by enabling data fusion across other streams and historical data using ANSI SQL.
    • Best-in-class location intelligence: capabilities include spatial functions, time series, and graph, to maximize the value of data across time and space.
    • Cutting-edge architecture: Vectorized processing results in greater performance on fewer nodes, and significantly less data engineering costs by avoiding time consuming indexing and materialized views creation.

    Originally developed for the U.S. intelligence community, Kinetica's advanced capabilities across time and space have supported the most complex IoT use cases in the world, including for the Defense Department, two of the top three telcos, a top three retailer, and more. Now, these capabilities are available in the AWS Marketplace.

    Instead of performing multiple tasks in parallel, like in threading parallelism, vectorized processing operates in parallel at the data level, performing the same operation on different sets of data at once. By combining threading and vectorized parallelism, Kinetica achieves exponentially faster processing. The result is better performance on lighter infrastructure with the capacity to analyze spatial relationships over time and execute analysis and decisioning in real time. Kinetica takes advantage of the latest vectorized hardware across CPUs and GPUs.

    Who uses Kinetica? Kinetica is trusted across government, defense, telecommunications, financial services, logistics, and more. Kinetica helps to identify national security threats in real time, model complex disaster risks, proactively predict cyber threats, accelerate the rollout of 5G, enable dynamic supply chains, and beyond.

    Highlights

    • Real-time analytics database: Kinetica extends the value of streaming tools like Kafka by enabling data fusion across other streams and historical data using ANSI SQL.
    • Best-in-class location intelligence: capabilities include spatial functions, time series, and graph, to maximize the value of data across time and space.
    • Cutting-edge architecture: Vectorized processing results in greater performance on fewer nodes, and significantly less data engineering costs by avoiding time consuming indexing and materialized views creation.

    Details

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    Delivery method

    Delivery option
    Kinetica on EKS with New VPC

    Latest version

    Operating system
    Linux

    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.

    Usage costs (6)

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    Dimension
    Cost/unit
    Hours of CPU XS cluster usage
    $1.50
    Hours of CPU S cluster usage
    $3.00
    Hours of CPU M cluster usage
    $6.00
    Hours of GPU Accelerated XS cluster usage
    $1.80
    Hours of GPU Accelerated S cluster usage
    $3.60
    Hours of GPU Accelerated M cluster usage
    $7.20

    Vendor refund policy

    No refunds. Please contact us at sales@kinetica.com  If you have any questions

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Kinetica on EKS with New VPC

    Supported services: Learn more 
    • Amazon EKS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    Kinetica version v7.2.0-11 on EKS

    Resources

    Vendor resources

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    2 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Leslie C.

    Beneficial especially for our wind farm activities

    Reviewed on Jul 04, 2024
    Review provided by G2
    What do you like best about the product?
    I am able to process large amounts of sensor data that comes from our wind farm network immediately with the help of Kinetica. This helps us detect trends and potential problems much sooner; thus, it increases personnel efficiency.
    What do you dislike about the product?
    Kinetica’s pricing is linked to the data size and for the large number of sensors we have, it can be costly. It places constant pressure on us to determine if the situation is worth the risk.
    What problems is the product solving and how is that benefiting you?
    Kinetica solves the problem of processing big data received in real-time and containing spatial and temporal data. In this way, we can generate energy for the quickest amount of time and avoid wasting money on equipment malfunctions.
    Surya K.

    Efficient Data analytics

    Reviewed on Jul 02, 2024
    Review provided by G2
    What do you like best about the product?
    handling extreme data analytics, combining streaming and historical data. real-time insights and highly efficient
    What do you dislike about the product?
    complexity can be a challenge for new users, require significant training and adjustment time. A bit pricy
    What problems is the product solving and how is that benefiting you?
    Managing and analyzing large volumes of data efficiently. Rapid data processing, providing quick insights and facilitating better decision-making in data-intensive environments
    View all reviews