Infor Data Lake
Big data processing and distribution systems
Database software
Big data software
- Features
- Ease of use
- Ease of management
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What is Infor Data Lake
Infor Data Lake is a cloud-based data repository and integration layer within the Infor OS/Infor CloudSuite ecosystem that centralizes operational and application data for analytics and downstream processing. It is used by IT, data engineering, and analytics teams to ingest, store, and govern data from Infor applications and selected external sources. The product emphasizes prebuilt connectivity and metadata alignment for Infor application data, with access typically delivered through Infor’s platform services and APIs.
Tight Infor application alignment
The product is designed to capture and organize data generated by Infor enterprise applications, reducing the effort required to make that data available for reporting and analytics. It leverages Infor’s application context and metadata patterns, which can simplify modeling for common operational use cases. For organizations standardized on Infor CloudSuite, this can shorten integration work compared with assembling separate ingestion and storage components.
Centralized cloud data repository
Infor Data Lake provides a single place to land and retain data for multiple analytics and integration use cases. Centralizing data can reduce duplication across departmental extracts and ad hoc databases. It supports downstream consumption through platform services rather than requiring each team to build separate pipelines from source systems.
Platform-based access and governance
Access to data is typically mediated through Infor’s platform capabilities (for example, APIs and related services), which can help standardize how data is shared across applications and users. This approach can support consistent authentication and authorization patterns across the Infor environment. It also helps organizations apply common operational controls when multiple teams consume the same datasets.
Best fit for Infor stack
The strongest value is realized when the organization primarily uses Infor applications and Infor OS services. For heterogeneous environments, teams may still need additional integration tooling and data modeling work to achieve parity with broader, cloud-agnostic data platforms. This can limit the product’s appeal as an enterprise-wide lake for all business domains.
Less emphasis on advanced analytics engines
Infor Data Lake focuses on data landing, organization, and access within the Infor platform rather than providing a full, standalone analytics compute environment. Teams often rely on separate query engines, BI tools, or data science platforms for complex transformations, large-scale SQL workloads, or machine learning pipelines. This can add architectural components compared with platforms that bundle storage and high-performance compute tightly together.
Potential vendor lock-in considerations
Because ingestion patterns, access methods, and governance are closely tied to Infor’s platform services, portability to other ecosystems may require additional extraction and re-platforming work. Organizations planning multi-vendor data architectures should evaluate data egress, interoperability, and long-term operating model implications. These considerations are common when a data layer is embedded within an application vendor’s broader cloud suite.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Enterprise / Custom | Contact Infor Sales (no public pricing listed) | Unified, infinitely scalable object storage; Infor Data Catalog (metadata management); Data Lake Metagraph (relational/semantic layer); Compass SQL and APIs for query and ingestion; part of Infor OS / Data Fabric. Pricing is not published on the vendor site — contact Infor for a quote. |
Seller details
Infor
New York, NY, USA
2002
Subsidiary
https://www.infor.com/
https://x.com/infor
https://www.linkedin.com/company/infor/
