Databorg users appreciate its Knowledge extraction component, Can handle unstructured data, Works with semi-structured data, Creates weak knowledge graphs, Knowledge integration feature, Links distributed knowledge graphs, Creates single knowledge repository, Knowledge comprehension capability, Provides holistic data view, Access-aware data insight, Offers data harmonization, Distributed search capability, Natural language processing, Over decade of development, Used by global partners, More than 2, 000 downloads, Over 100 active users, Generated over 1, 000 graphs, Applicable across industries, Suitable for chatbot use, Can aid in sales, Facilitates predictive maintenance, Valuable for fact-checking, Text to knowledge graph, Named entity recognition, Extracts over 4, 000 entities, Web question-answering feature, Ease of API use, Expert mobility applications, Improves intelligent navigation systems, Sales intelligence feature, Fact-checking capability, Over 1M annual API calls, Platform based on knowledge graphs, Assists in candidate profiling, Promotes data understanding, Helps shape and evolve data, Hypercharges data analysis
and Makes data analysis simpler, though some note a
Limited user base, Unproven for large industries, Only supports weak knowledge graphs, No apparent real-time processing, Not suitable for structured data, Long development, uncertain future improvements, No explicit multi-language support, Lacks transparent pricing info, Limited amount of downloads
and Potential difficulty interconnecting knowledge graphs.
