Best Data Management Software for Amazon Neptune

Find and compare the best Data Management software for Amazon Neptune in 2024

Use the comparison tool below to compare the top Data Management software for Amazon Neptune on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
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    Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
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    KgBase Reviews

    KgBase

    KgBase

    $19 per month
    KgBase (or Knowledge Graph Base) is a robust, collaborative database that allows for versioning, analytics, visualizations, and visualizations. KgBase allows anyone to create knowledge graphs and gain insights about their data. You can import your CSVs or spreadsheets or use our API to collaborate on data. KgBase allows you to create no-code knowledge graphs. Our easy-to-use UI lets users navigate the graph and display the results in tables and charts. You can play with your graph data. You can build your query and watch the results change in real-time. It's similar to writing query code in Cypher and Gremlin, but much easier. It's also fast. You can view your graph as a table. This allows you to view all results, regardless of their size. KgBase is great for large graphs (millions) as well as simple projects. You can either use the cloud or self-hosted and have extensive database support. You can introduce graphs to your organization by seeding graphs from a template. Any query results can be easily converted into a chart visualization.
  • 3
    Amazon Quantum Ledger Database (QLDB) Reviews
    Amazon QLDB, a fully managed ledger database, provides a transparent, immutable and cryptographically verifyable transaction log that is owned by a central trusted authority. Amazon QLDB allows you to track every application data change, and keeps a complete history of all changes over time. Ledgers are used to record the history of financial and economic activity within an organization. Many organizations create applications that have ledger-like functionality. They do so because they want to keep a detailed history of their data. This includes tracking the history and debits of bank transactions, verifying the data lineage for an insurance claim, or tracking the movement of an item within a supply chain network. Amazon QLDB is a new type of database that eliminates the need for complex development of your own ledger-like apps.
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    KeyLines Reviews

    KeyLines

    Cambridge Intelligence

    Create graph visualization products that transform connected data into insight. JavaScript's flexibility and power allows you to quickly and easily create graph visualization applications that can go anywhere. KeyLines allows you to create graph visualization applications in a flexible way. Create interactive graph visualization tools that reveal hidden insights and threats. KeyLines JavaScript graph visual toolkit allows you to create applications that are tailored for your users, your data and the questions you need. It works with any browser, device or server and includes clear tutorials, demos and API documentation. With our developer support, you will quickly discover network insight. KeyLines makes it easy for you to create high-performance JavaScript graph visualization tools which work anywhere. They use HTML5 and WebGL graphics rendering, and carefully crafted code to provide users with quick and insightful visualization.
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    ReGraph Reviews

    ReGraph

    Cambridge Intelligence

    React graph visualization products can transform connected data into insight. ReGraph's data-driven API makes it easy to add graph visualizations into your React applications. Your users can get high-performance graph visualizations that are custom made, no matter where they are. ReGraph is a simple and easy coding experience for React developers. It features familiar logic, simple state handling, and well-documented Props. You can control where your data is stored and how the component behaves. It can be used in any browser on any device and integrates easily with any server or database. It allows you to create a custom React graph visualization app. ReGraph makes it easy for you to create powerful React graph visualization apps. Everything has been optimized for performance, right from the layout algorithms to the supercharged graphics rendering engine.
  • 6
    metaphactory Reviews
    metaphactory converts your data into actionable, contextual and consumable knowledge. It also drives continuous decision intelligence. Intuitive interfaces that are intuitive and out-of-the box for searching, browsing, and exploring your Knowledge Graph. It is possible to create custom interfaces using low-code that allow business users to interact with the Knowledge Graph. Start small, iterate often, and add new use cases, data, and users as you go. Low-code platform for building applications and agile knowledge management.
  • 7
    Tom Sawyer Perspectives Reviews
    Tom Sawyer Perspectives provides a robust platform to build enterprise-class graph, data visualization and analysis apps. It is a complete graph visual software development kit (SDK), with a graphics-based design environment and preview environment. The platform integrates enterprise data sources and our powerful graph visualization, layout and analysis technology to solve big-data problems. Tom Sawyer Perspectives enables developers to quickly develop production-quality data-oriented visualization applications. The Designer and Previewer graphic modules are used to create applications that visualize and analyze the data that drives each project. Developers can use the Designer to extract schema, data sources and bindings, view filters, filters, searches, rules, views, filters and rules. The Designer can also be used to create custom toolbars and tooltips, context menus and graphical editing and viewing behaviors.
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