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What is MarkLogic Data Hub Service?

Data Hub Service is a fully managed cloud data hub to run transactional, operational, and analytical applications with high performance and reliability at a predictable cost.

As a serverless data integration SaaS solution, Data Hub Service delivers best-in-class performance, scale, and security to build and govern an enterprise data hub. Based on the MarkLogic Data Hub platform, it offers powerful capabilities like multi-model, smart mastering, semantic search, distributed transactions, and more for agile integration of heterogeneous data and self-service consumption.

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Unified Solution

Instead of spending effort on integrating a dozen cloud services, you focus on innovation and development of operational and analytical applications with built-in intelligence.

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Full Automation

One-click cloud deployment gives you instant access and accelerates time to value for all users while leaving infrastructure operations to the experts at MarkLogic.

Data Hub and finance chart showing improved TCO

Lower TCO

Elastic scale at a predictable subscription cost allows you to quit worrying about spiky and unpredictable workloads or cost overrun, and instead drive business outcomes.

How Can You Benefit From Data Hub Service?

As a cloud-neutral solution, Data Hub Service allows data professionals to realize the benefits of the MarkLogic Data Hub Platform. It is faster, better, and cheaper than doing it yourself — building and running your own data hub.

Unlike vanilla database-as-a-service products, it offers a complete solution to integrate a variety of data. It supports hybrid cloud landscapes to provide a migration path for MarkLogic Data Hub workloads from on-premises to the cloud, helping organizations scale data integration across a growing number of diverse on-premises and cloud applications.

With Data Hub Service, you can democratize data and eliminate friction between IT and the business. Organizations across industries including large investment banks, major health organizations, and classified government systems trust MarkLogic to manage their most critical data assets. Some common use cases are:

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Unified 360 View

A master data hub to build golden records, optimize processes, deliver personalized user experiences, and meet data protection regulations. Look at how Aetna successfully managed HR data for around 35,000 employees.

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Operational Analytics

An operational data hub for real-time analysis of product quality, safety concerns, supply chain traceability, or regulatory compliance. Look at how AIRBUS ran flight test simulations across thousands of parameters.

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Content Monetization

A data platform to streamline R&D knowledge management and bring new products to market by integrating metadata and content, and enhancing it with semantics. Look at how NBC built an award-winning app for Saturday Night Live.

Unique Features of Data Hub Service

Typical data integration projects take years to complete – and have a high probability of failure due to the speed of change. Data Hub Service enables organizations to build an actionable 360 view of their data with far better agility and governance than any other hub and spoke architecture.

Marklogic Data Hub Service diagram

Unlike on-premises solutions, Data Hub Service independently scales compute and storage using serverless architecture at a superior price-to-performance ratio.

Data Hub Service takes any workload’s context into account when upscaling or downscaling the cluster. It independently scales operational, analytical, and curation workloads to provide a high degree of reliability and responsiveness.

Unique compute credits pricing offers free automated compute bursting based on accumulated credits. This results in a scalable, cost-effective solution to meet service-level-agreements for unpredictable or time-varying workloads.

Free up DataOps teams from complex data sharding to focus on application development. Automated data balancing prevents hotspots and maximizes query performance to scale applications. Additionally, the queries are executed using the built-in search engine, which minimizes the need for database caching by applications for scale.

Bring your own models and orchestrate data flows to and from your models to ensure trustworthy results on live data. This helps scale AI adoption by iteratively improving model performance using the latest training data.

Bring simplicity to your data architecture and make it easy to discover insights with search and semantics at scale. This semantics-driven integration of data in the language of your business increases collaboration between business and IT and helps build a data innovation flywheel.

Simplify data governance and mitigate compliance risks by having everything in one place, providing a single point of access for data, security, and anonymization. It has been independently audited and certified. Learn more about Data Hub Service security.

Quickly build data pipelines using low-code/no-code MarkLogic Data Hub Software, which comes bundled with your Data Hub Service. It makes it easier for you to configure data pipelines and build data services. Discover the MarkLogic Data Hub Software user experience.

Advanced Data Management Capabilities

Data Hub Service provides an iterative, flexible data modeling approach to manage change, enable multiple use-cases, and fast-track results. It delivers incredibly fast data ingestion performance and supports batch and real-time data curation pipelines that scale horizontally. It lets users query using Search, SQL, REST API, Java SDK, or familiar BI tools across operational and transactional data. The following lists a few capabilities of Data Hub Service:

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Multi-Model Data Management

  • Document data model, XML and JSON optimized
  • Semantic graph and search to connect, enhance, and query documents
  • Geospatial support for location-based search queries
  • Full-text search
  • Relational views for SQL analytics
  • Embedded machine learning and bring your own model using the ONNX open standard
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Data Orchestration

  • Load data as is and perform instant analysis
  • Real-time alerts and triggers for event-driven applications
  • Data harmonization, enrichment, and mastering for high data fidelity
  • Data services for schema-on-read access
  • Data provenance and lineage for improved governance
  • Learn more about Data Hub Software
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Data Security

  • Data redaction for secure sharing
  • Single Sign-On (SSO) authentication
  • Role-based access control with document and element level security
  • Encryption at-rest and in-motion using client-owned encryption keys
  • Learn more about Data Hub Service security
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Cloud Scale

  • ACID transactions
  • Auto-scaling for compute-intensive workloads
  • Big data (Petabyte) capacity
  • Distributed, scale-out, shared-nothing architecture
  • Active-Active high availability (HA) with synchronous data replication and automated failover
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Cloud Economics

  • Free, automated compute burst
  • Always-on, enterprise-grade reliability
  • 24*7 monitoring, auto backups, and upgrades

Predictable Pricing

Data Hub Service offers consumption-based pricing. There is no infrastructure to manage and you pay a fixed rate for compute and storage-used — creating a simplified and complete service experience.

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).

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*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.

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FAQs

Frequently Asked Questions

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