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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    KGNN

    N/A
    Enterprise companies (1,001+ employees)
    Equitus KGNN is an automated data unification platform in the knowledge graph and AI data infrastructure category. It is designed for enterprise organizations seeking to ingest, structure, and contextualize large volumes of structured and unstructured data without relying on traditional ETL processes. KGNN automates the transformation of disparate enterprise data into semantically enriched, AI-ready knowledge to support use cases such as analytics, business intelligence (BI), and generative…N/A

    Neo4j

    Score9 out of 10
    N/ANeo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

    $65

    per month

    Pricing
    KGNNNeo4j
    Editions & Modules
    No answers on this topic
    Aura Professional
    $65
    per month
    Community Edition
    Free
    Enterprise Edition
    Contact Sales
    Aura Free
    Free
    Aura Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    KGNNNeo4j
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    KGNNNeo4j
    Small Businesses
    Slite
    Score5.7 out of 10
    No answers on this topic
    Medium-sized Companies
    Bloomfire
    Score8.4 out of 10
    No answers on this topic
    Enterprises
    Bloomfire
    Score8.4 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    KGNNNeo4j
    Likelihood to Recommend
    -
    (0 ratings)
    9.0
    (10 ratings)
    Usability
    -
    (0 ratings)
    9.0
    (2 ratings)
    User Testimonials
    KGNNNeo4j
    Likelihood to Recommend
    Equitus
    No answers on this topic
    Neo Technologies
    Neo4J is great for creating network graphs or illustrating how things are related. It is also good for finding individuals or things that have greater influence than others in a system. It is not appropriate if you have standard data sets that can be analyzed using conventional methods or visualized using Tableau, for example.
    Incentivized
    Read full review
    Pros
    Equitus
    No answers on this topic
    Neo Technologies
    • Mature Query language, I found Cypher QL to be mature in handling all sorts of problems we throw at it. Its expressive enough to be intuitive while providing rich features for various scenarios.
    • Native support for REST API, that makes interacting with Neo4J intuitive and easy.
    • Support for Procedures in Java, procedures are custom code that could be added to the Neo4J to write custom querying of data. The best part about the procedures is it could be invoked using the REST API. This allows us to overcome any shortcomings from their Cypher query language.
    • Nice UI and interface for executing the Query and visualizing the response.
    • UI access controlled by User credentials allows for neat access controls.
    • Awesome free community edition for small-scale projects.
    Incentivized
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    Cons
    Equitus
    No answers on this topic
    Neo Technologies
    • One of the hardest challenges that Neo4j had to solve was the horizontal scaling problem. I am not updated on recent developments, but at the time of my use, I couldn't find a viable solution.
    • Neo4j does not play with other open source APIs like Blueprint. You have to use the native Neo4j API.
    • There wasn't a visual tool to see your data. Of course, third party tools are always available, but I would have loved something which came with the Neo4j bundle. I love that Docker comes bundled with Kitematic, so it's not wrong to hope that Neo4j could also ship with some default visualization software.
    Incentivized
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    Usability
    Equitus
    No answers on this topic
    Neo Technologies
    Learning cypher was super easy coming from a SQL background. Furthermore, the docs Neo4j provides on their website make it really easy to pull up a reference, guide or a quick example. The mac app they provide is also really well designed with good visualisation tools, with the ability to easily use colour, line thickness etc to help navigate your data.
    Incentivized
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    Alternatives Considered
    Equitus
    No answers on this topic
    Neo Technologies
    Neo4j is a graph store and has different use cases compared to another NoSQL Document store like MongoDB. MongoDB is a bad choice when joins are common as existing operators for joining two documents (similar to tables in a relational store) as Mongo 3.5 use SQL like join algorithms which are expensive. MongoDB is a great choice when distributed schemaless rich document structures are important requirements. Cross document transaction support is not native to MongoDB yet, whereas Neo4J is ACID complaint with all its operations.
    Incentivized
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    Return on Investment
    Equitus
    No answers on this topic
    Neo Technologies
    • Positive: Less complex queries on graph structures, than in relational databases.
    • Negative: maintenance is a huge deal, things doesn't work and break, requiring lengthy restore operations.
    Read full review
    ScreenShots

    KGNN Screenshots

    Screenshot of KGNN displaying a richly connected semantic network generated by Equitus KGNN. At the center is a core entity node, automatically linked to multiple other entity types such as people, organizations, locations, and categories. These nodes are color-coded and icon-tagged to represent different entity classes.Screenshot of an image where the user is selecting from a variety of layout modes, Concentric, Lens, Sequential, Organic, and Structural, each offering different visual perspectives to better understand the graph’s structure. The central workspace displays a dynamically generated graph consisting of nodes (entities) and links (relationships), color-coded by type or category. Users can manipulate the graph view, search items, group nodes, add documents, run queries, or export the graph data for further analysis.Screenshot of Equitus's integrated UI, which is designed to visualize and interact with the knowledge graph automatically generated by KGNN. The interfae is not required for KGNN to function but offers a powerful, intuitive environment for users who wish to explore and validate semantic relationships within the graph.Screenshot of the interface that enhances transparency and usability of the knowledge graph, especially in environments where data traceability, context validation, or manual exploration is necessary.