List of MarkLogic Data Hub Customers
San Carlos, 94070, CA,
United States
Since 2010, our global team of researchers has been studying MarkLogic Data Hub customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased MarkLogic Data Hub for Extract, Transform, and Load (ETL) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using MarkLogic Data Hub for Extract, Transform, and Load (ETL) include: Aetna Inc, a United States based Insurance organisation with 50000 employees and revenues of $105.60 billion, Erie Insurance, a United States based Insurance organisation with 6715 employees and revenues of $3.86 billion, Defense Technical Information Center, a United States based Government organisation with 40 employees and revenues of $66.0 million and many others.
Contact us if you need a completed and verified list of companies using MarkLogic Data Hub, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The MarkLogic Data Hub customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aetna Inc | Insurance | 50000 | $105.6B | United States | MarkLogic | MarkLogic Data Hub | Extract, Transform, and Load (ETL) | 2014 | n/a |
In 2014, Aetna Inc implemented MarkLogic Data Hub in the Extract, Transform, and Load (ETL) category as an operational data hub initially focused on HR. The MarkLogic Data Hub project ingested and integrated hundreds of disparate source systems to deliver a 360 degree view of employee data and was later expanded to include customer and provider data across the United States.
The deployment used MarkLogic Data Hub capabilities to construct extract, transform, and load pipelines, semantic indexing, and operational data services that support real time search and query across consolidated records. Functional configuration emphasized data harmonization workflows, identity resolution across sources, and instrumentation for full data lineage so that source to consumption mappings were observable and auditable.
Integrations connected a broad set of source feeds and internal systems to the hub, enabling downstream consumption by HR, benefits administration, customer service, and provider management business functions. Operational scope began with HR and then broadened to customer and provider domains within the United States, centralizing master data for multiple enterprise functions.
Governance was formalized around lineage tracking and semantic search to support continuous onboarding of new sources, and the first line of business was delivered in nine months. The program delivered improved real time search and semantics, enabled full data lineage, and reduced integration costs as reported by the implementation sources.
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Defense Technical Information Center | Government | 40 | $66M | United States | MarkLogic | MarkLogic Data Hub | Extract, Transform, and Load (ETL) | 2018 | n/a |
In 2018, Defense Technical Information Center implemented a MarkLogic Data Hub in the Extract, Transform, and Load (ETL) category to consolidate 30+ structured and unstructured data sources for DoD researchers in the United States. The deployment centralized data ingestion and semantic indexing to improve discoverability, secure access, and semantic enrichment of technical reports and project artifacts.
The MarkLogic Data Hub implementation delivered ingestion pipelines, transformation and normalization workflows, semantic enrichment and ontology linking, and indexing to support cross document search and semantic linking. The hub also enforced element level security controls and metadata extraction to provide fine grained access across projects and reports.
Operationally the hub integrated content from over 30 internal sources, bringing structured repositories and unstructured document collections into a unified operational store used by research programs, technical librarians, and analyst workflows. The implementation focused on consolidating content to support DoD research functions within the United States, enabling unified discovery and retrieval across previously siloed assets.
Governance changes included instituting data stewardship and access control policies that routed ingestion through the data hub for consistent semantic tagging and linkage. The implementation reduced data ingestion times from months to minutes and delivered semantic linking and element level security across projects and reports, improving discoverability and secure, granular access for researchers.
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Erie Insurance | Insurance | 6715 | $3.9B | United States | MarkLogic | MarkLogic Data Hub | Extract, Transform, and Load (ETL) | 2023 | ValueMomentum |
In 2023, Erie Insurance migrated its existing MarkLogic Data Hub to AWS to create a consolidated policy and customer data platform, supporting CDS and CIM for policy-centric reporting, analytics and a 360-degree customer view across the United States. ValueMomentum supported the migration and execution workstreams.
The deployment leverages MarkLogic Data Hub as an Extract, Transform, and Load (ETL) platform to centralize policy and customer records into a single source of truth. Implementation focused on data ingestion, harmonization and master data consolidation to enable unified policy-centric reporting and a customer information model.
Architecturally the project provisioned the MarkLogic Data Hub on AWS, standardizing environment provisioning and establishing data pipelines that feed downstream reporting and analytics environments. The implementation emphasizes operational capabilities typical of ETL platforms, including staged ingestion, transformation workflows and curated landing zones for analytics consumers.
Governance and operational rollout were coordinated with ValueMomentum to standardize data domain ownership, pipeline orchestration and environment provisioning processes. The migration enabled faster environment provisioning, retirement of older systems and a consolidated platform to support policy reporting, analytics and a 360-degree customer view.
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