Amazon FinSpace pricing

Amazon FinSpace is a data management and analytics service for financial services industry (FSI) customers such as hedge funds, asset management firms, insurance companies, and investment banks to store, prepare, and analyze data at petabyte scale. Amazon FinSpace provides fully managed kdb Insights clusters to process and analyze capital markets timeseries data.

Use the "Request a pricing quote" above so we can help you optimize your kdb configuration on AWS and reduce spend.

  • Managed kdb Insights
  • Pricing

    Using the FinSpace AWS Console and API, customers can launch kdb Insights analytics clusters to perform real-time and historical data processing and analytics. With Managed kdb Insights, you pay only for the compute, storage, and caching resources you use when running kdb Insights clusters and there are no minimum fees or setup charges. This frees you from the costs and complexities of planning, purchasing, and maintaining hardware and transforms what are commonly large fixed costs into much smaller variable costs.

    Kdb Insights compute for Dedicated Clusters and Scaling Groups

    Managed kdb Insights compute can be used for the individual compute nodes in a dedicated cluster or for the hosts in a scaling group. You pay an hourly rate (billed at one-minute resolution), based on the quantity and size of nodes in your dedicated cluster or hosts in your scaling group. Note that only kx.sg* types work with scaling groups.

    Note: The price per hour does not include kdb Insights software license. See here for details on kdb licensing.

    Database Storage

    Data is stored in kdb Databases using change sets. You pay for the amount of data in your database, which is the total of the amount of data you have added to a database via changesets. This is calculated by adding up the GB provisioned for each hour and dividing by the total number of hours in the month, resulting in a “GB-months” value.

    Storage Volumes

    Shared storage volumes can be configured to provide POSIX file system storage for writing and storing Tickerplant (TP) logs, writing and storing realtime database (RDB) savedown files, temporary scratch space, and faster database access via Dataviews and high-performance disk cache. You pay for the amount of volume storage configured. This is calculated by adding up the GB provisioned per hour and dividing by the total number of hours in the month, resulting in a "GB-months" value.

    When used for cache on a dedicated cluster in a Multi-AZ cluster configuration, a cache in each AZ is automatically created, so your total cost will be 3 times the amount of cache storage you specify for the cluster via the API/Console.

    Dedicated Cluster Savedown Storage

    Real-time clusters will persist data from memory to disk so that it can be added to the kdb historical database for historical analytics. For dedicated clusters you can configure separate storage, called Savedown Storage, for each node. For Scaling Groups, you can configure a Storage Volume, which is shared by all nodes in the cluster, to use for savedown storage. 

    The amount of savedown storage required will depend on the volume of data your real-time cluster is processing each day. You pay for the amount of storage configured for each node in the cluster. This is calculated by adding up the GB provisioned per hour per active node in the cluster and dividing by the total number of hours in the month, resulting in a "GB-months" value.

    Amazon FinSpace with Managed kdb Insights Pricing Example

    Consider a customer that wants to use Managed kdb Insights to support an application with a 10000 GB database, a 1-node Gateway cluster, a 2-node RDB cluster configured with 5000 GB of savedown storage, and a 3 node HDB cluster configured with 2400 GB of 1000 MB/s/TiB High performance cache (which uses a 1000 MB/s/TiB SSD volume). All clusters will use the kx.s.2xlarge node type, and will run 24x7 for the entire month.

    Monthly cost calculation (for a 30-day month)

    Database Storage: $264

        • 10000 GB x $0.0264 per GB = $264

    Gateway: $900

        • 1 node x 720 hours x $1.25 per hour for a kx.s.2xlarge node = $900

    RDB: $5,128

        • 2 node x 720 hours x $1.25 per hour for a kx.s.2xlarge node = $1,800
        • 2 nodes x 5000 GB savedown storage each at $0.3328 per month = $3,328

    HDB: $7,884

        • 3 nodes x 720 hours x $1.25 per hour for a kx.s.2xlarge node = $2,700
        • 2400 GB 1000 MB/s/TiB cache at $.72 per GB month across 3 replicas, one per AZ = $5,184

    Total monthly cost: $14,176

        • $264 (DB) + $900 (Gateway) + $5,128 (RDB) + 7,884 (HDB)

  • Dataset Browser
  • Pricing

    With Amazon FinSpace, you pay for users who have access to the application, the storage you use monthly, and for the clusters of compute nodes used to prepare and analyze your data.

    Users
    You are charged $150 per month for each registered user in FinSpace. 

    Storage
    You are charged $0.14 per month for each GB of data you store in FinSpace. 

    FinSpace Clusters (compute)
    You are charged per minute for the compute used to prepare and analyze data. You can choose from five cluster sizes based on your data processing needs.

     

    Cluster size (# worker nodes*) Price per minute
    Small (2 nodes) $0.14 
    Medium (4 nodes) $0.25
    Large (10 nodes) $0.50
    X-Large (20 nodes) $1.00
    XX-Large (40 nodes) $2.00

    *Each cluster worker node provides 16 vCPU and 244 GB of memory.

    Amazon FinSpace Pricing Example

    Consider a team with 5 people who use Amazon FinSpace to store, prepare, and analyze their data. The team will store 5,000 GB of stock market data and then use this data for their analysis. Each user will spend 20 hours (1,200 minutes) per month using a medium size cluster to prepare and analyze data.

    Monthly cost calculation

    Users: $750

    • 5 users $150 per user = $750

    Storage: $700

    • 5,000 GB x $0.14 per GB = $700

    Compute: $1,500

    • 5 users x 1,200 minutes = 6,000 minutes
    • 6,000 minutes x $0.25 per minute for Medium cluster = $1,500

    Total monthly cost: $2,950

    • $750 (users) + $700 (storage) + $1,500 (compute)