Gartner Cloud DBMS Report Names MarkLogic a Visionary

Low and Predictable Cost for Variable Workloads

As a cloud-neutral, serverless data hub, Data Hub Service offers consumption-based pricing based on cloud credits. You can pay on the go or get savings by buying credits in bulk in advance. The pricing is all-inclusive (includes hardware, software, operations, provisioning, and 24/7 support) and simple – you pay for compute, storage, and bandwidth consumed.

Pricing Scalable Tier1

Workload-Aware Scaling

Independently scales curation, operational, and analytical workloads for high performance and reliability.

Fast pipelines

Free Bursting

Automated, free compute burst lets you meet SLAs for workload with variable demand without cost overrun.

Pricing Predictable Tier1

Predictable Cost

Plan for average demand and utilize accumulated, unused, compute credits for unpredictable workloads.

How Do You Consume and Accumulate MarkLogic Capacity Units (MCU)?

Pricing Video Thumbnail

Predictable Pricing

Data Hub Service offers simple consumption-based pricing. There is no infrastructure to manage and you pay a fixed rate for compute (billed as MarkLogic Capacity Units, or MCUs) and the storage consumed.

Data Hub Service is available on AWS and Azure. There are three ways to pay for Data Hub Service instances: Low Priority Fixed, Standard On-demand, and Standard Reserved.

Low Priority Fixed

Fixed compute capacity for intermittent workloads

Compute Storage
$0.075 $0.10
/MCU per hour* /GB per month*

 

Details

  • Fixed compute capacity by the hour
  • Does not provide high-availability and auto-scaling

Recommended for

  • Batch (or ad-hoc) workloads
  • Development or test instances
  • Workloads with flexible start and end times

Example

A low-priority fixed instance for 8 MCUs, provisioned in Azure US East region, that runs 5 hours for 20 days with a storage footprint of 32 GB will cost $64/month (excluding data transfer fee).

Standard On-demand

On-demand compute capacity for 24×7 availability needs

Compute Storage
$0.125 $0.10
/MCU per hour* /GB per month*

 

Details

  • Elastic compute capacity by the hour
  • Offers high-availability and free compute bursting (or auto-scaling)
  • Stores up to 12x of unused compute credits that are used during burst for free

Recommended for

  • Workloads that require continuous availability
  • Unpredictable workloads
  • Strict service level agreements

Example

A standard on-demand instance for 32 MCUs, provisioned in AWS US East region, that runs 24 hours for 30 days with a storage footprint of 128 GB will cost $2893/month (excluding data transfer fee).

Standard Reserved

Save 43% when you buy annual compute capacity in advance

Compute Storage
$0.071 $0.10
/MCU per hour* /GB per month*

 

Details

  • Significant discount by purchasing annual reserve compute capacity upfront
  • All the great benefits of Standard On-demand

Recommended for

  • Ongoing workloads that require continuous availability
  • Workloads with time-varying demand
  • Strict service level agreements

Example

A standard reserved instance for 32 MCUs, provisioned in AWS US East region, that runs 24 hours for 365 days with a storage footprint of 128 GB will cost $20,000/year (excluding data transfer fee).

Talk to Sales

*Prices may vary by cloud providers’ region. In addition to compute and storage costs, there will be nominal bandwidth (or data transfer) fees as charged by the public cloud provider. For full pricing details, download the PDF or visit the AWS marketplace.

Faster, Cheaper, and Better than Doing It Yourself

Data Hub Service (DHS) customers benefit from accelerated time to value, reduced total cost of ownership, and faster innovation cycles.

faster_cheaper_dhs_diagram

With Data Hub Service, MarkLogic owns the Ops and you simply pay for compute, storage, and bandwidth consumed by your workloads.  This is in contrast to you running the MarkLogic Data Hub in a public or private cloud, where you own the Ops and have complex, multi-line billing for licensing, infrastructure, and administration costs.

Top 3 FAQs

The compute capacity of Data Hub Service is measured in MarkLogic Capacity Units (MCU). It is priced hourly (US $/MCU/hour) using either on-demand, consumption-based billing or reserved, prepaid billing. Customers get a significant discount (approximately 43%) for an upfront annual commitment using prepaid billing. Following are a few pricing examples of Data Hub Service for illustrative purposes.

DHS Standard Reserved Pricing Example

Service Sizing Parameters

  • Raw data volume that will be stored (TB)
  • Provisioned baseline capacity (MCU / hour)
2 TB
64 MCU / hour
DHS Standard Reserved Compute Usage Cost
Max. 768 compute credits (MCU) can be accumulated
$40,000
DHS Storage Annual Usage Cost
Estimated storage usage is 5TB; includes backups, logs, indexes, etc.
$6,000
DHS Bandwidth Annual Usage Cost
Bandwidth cost varies based on usage volume
$200
Projected Annual Cost
Includes free compute burst based on accumulated, unused credits
$46,200
DHS Standard On-demand Pricing Example

Service Sizing Parameters

  • Raw data volume that will be stored (TB)
  • Provisioned baseline capacity (MCU / hour)
2 TB
64 MCU / hour
DHS Standard On-demand Compute Usage Cost
Max. 768 compute credits (MCU) can be accumulated
$70,100
DHS Storage Annual Usage Cost
Estimated storage usage is 5TB; includes backups, logs, indexes, etc.
$6,000
DHS Bandwidth Annual Usage Cost
Bandwidth cost varies based on usage volume
$200
Projected Annual Cost
Includes free compute burst based on accumulated, unused credits
$76,300
DHS Standard Reserved and On-demand Pricing Example
  • Mid-year increase in raw data volume from 2TB to 4TB
  • Standard Reserved Compute Capacity of 64 MCU / hour for 12 months
  • Standard On-demand Compute Capacity of 64 MCU / hour for the last 6 months

Service Sizing Parameters (First 6 months)

  • Raw data volume that will be stored (TB)
  • Provisioned baseline capacity (MCU / hour)
2 TB
64 MCU / hour

Service Sizing Parameters (Last 6 months)

  • Raw data volume that will be stored (TB)
  • Provisioned baseline capacity (MCU / hour)
4 TB
128 MCU / hour
DHS Standard Reserved Annual Compute Cost
Baseline annual compute capacity of 64 MCU / hour
$40,000
DHS Standard On-demand Compute Usage Cost
Baseline compute capacity of 64 MCU / hour for 6 months
$35,000
DHS Storage Annual Usage Cost
Estimated Storage Usage is 5TB for the first 6 months and 10 TB for the last 6 months; includes backups, logs, indexes, etc.
$9,000
DHS Bandwidth Annual Usage Cost
Bandwidth cost varies based on usage volume
$300

Projected Annual Cost

  • Includes free compute burst based on accumulated, unused credits
  • Max. 768 compute credits (MCU) for the first 6 months and Max. 1536 compute credits (MCU) for the last 6 months can be accumulated
$84,300

Customer billing for compute can use a combination of prepaid and consumption-based billing. If customers do not buy compute capacity upfront using prepaid billing, then it is billed using consumption-based billing. However, if customers buy compute capacity upfront (i.e. prepaid MCU/hour) and are consuming compute in excess of the prepaid compute capacity, then any excess compute utilization (i.e. MCU/hour) is billed using consumption-based billing. Also, since customers buy compute capacity upfront (i.e. prepaid MCU/hour), any underutilization of compute has no impact on the billing.

 

As an elastic, serverless cloud data hub, Data Hub Services scales linearly with provisioned compute capacity (MCU). The higher baseline capacity not only results in higher performance (i.e. transactions per second) but also enables auto-handling of peak load demand for a longer time duration at no extra cost due to free compute bursting. This makes it easy for customers to easily optimize the baseline compute capacity based on ongoing load profile and the desired SLAs.

For detailed testing results on Data Hub Service scalability, please check out the following video on MarkLogic TV (MLTV).

There is no magic formula to sizing the baseline compute capacity of Data Hub Service. It depends on multiple factors: data volume in the data hub, data ingestion velocity, query load, query complexity, etc. The Data Hub Service pricing sheet has some heuristics to estimate baseline compute capacity based on data volume but it does not account for every factor.

To size the capacity of Data Hub Service for your particular use-case, we recommend that you work directly with your MarkLogic sales team. They can help you find the equilibrium that maximizes free compute bursting while not having to pay and provision capacity to handle peak demand.

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