eccenca Corporate Memory: Enterprise Knowledge Graph Platform
eccenca helps organizations connect disparate data silos into a machine-readable knowledge graph. It is designed for teams that need to provide structured context for AI systems or manage complex product data.
At a glance
- Category
- Data & Analytics
- Best for
- Mid-market companies, Enterprise organizations, Subject matter experts, Line-of-business data owners
- Pricing
- Pricing was not clearly available from the provided evidence. A free community edition sandbox is available. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Complexity Management, AI Contextualization, Digital Supply Networks, IT Service Automation, Product Data Management
- Integrations
- Excel, JDBC, OAuth2, OpenID, SAML
- Official website
- www.eccenca.com
eccenca Corporate Memory is a semantic data management platform designed to organize an organization's data, rules, and constraints in a single application. It uses W3C standards like RDF, OWL, and SHACL to make enterprise information interpretable for both business users and AI systems.
The tool is designed for mid-market and enterprise companies, specifically targeting line-of-business users and subject matter experts. It allows these users to manage data schemas and link information through low-code tools without requiring data migration from existing systems.
Practically, the software supports the creation of a semantic data foundation, which may help in reducing hallucinations in LLMs by providing reliable context. It also supports the automation of knowledge-driven tasks and the management of digital supply networks.
Buyers should confirm if their internal technical expertise aligns with semantic web standards, such as SPARQL and JSON-LD, to utilize the platform's querying and modeling capabilities.
Key Features
Links data from various sources into a central knowledge graph without requiring data migration.
Supports subject matter experts in independently interpreting and adjusting data schemas.
Supports the automation of rule creation and the visualization of data connections.
Utilizes RDF, OWL, and SHACL to ensure data is interoperable and follows FAIR principles.
Provides SPARQL and JSON-LD frames for exploring and extracting data landscapes.
Supports OAuth2, OpenID, and SAML for central user authentication and data access control.
Use Cases
Managing interdependencies of complex physical products and services.
Providing structured knowledge to LLMs to support reasoning and may help reduce hallucinations.
Integrating and tracking data across global supply chains and warehouses.
Using knowledge graphs to support processes related to B2B IT services.
Identifying blind spots in product portfolios through knowledge graphs.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. A free community edition sandbox is available. Buyers should confirm current pricing on the vendor website.
FAQ
It is used to integrate disparate data sources into a central knowledge graph, helping organizations manage complexity, support workflows, and provide a data foundation for AI.
No, the platform is designed to link data from source systems using HTTP identifiers and metadata, allowing source systems to remain as they are.
Yes, the company offers a free community edition sandbox for users to test the platform.
It is primarily designed for mid-market and enterprise companies, specifically for line-of-business users and subject matter experts.
Source category: Data & Analytics
Source subcategory: Knowledge Graph Platform
