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. 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.
As a cloud-neutral solution, Data Hub Service 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:
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.
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.
Data Hub Service provides a flexible data modeling approach to manage change and enable multiple use-cases. It delivers incredibly fast data ingestion performance and supports batch and real-time data curation that scales horizontally. It lets users query using Search, SQL, REST API, SDKs, or familiar BI tools across multi-structured data. The following lists a few capabilities of Data Hub Service:
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.