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    GraphDB Enterprise Edition (ARM)

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    Sold by: Ontotext 
    GraphDB Enterprise is a robust triplestore designed to handle large-scale RDF data, making it perfect for knowledge graphs and linked data applications. It offers high-performance querying with SPARQL support, strong security features, and flexibility for evolving data structures, backed by Ontotext's proven expertise in semantic technology. With its scalability and high availability, GraphDB empowers organizations to efficiently manage and query interconnected data while ensuring data security and compliance. The Bring Your Own License GraphDB offering gives you added flexibility in how and where you take advantage of these benefits on available local and cloud servers.
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    GraphDB Enterprise Edition (ARM)

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    Sold by: Ontotext 
    View purchase options

    Overview

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    Knowledge graphs are key to both maximizing the power of data and enabling effective analytics. Ontotext's GraphDB database engine excels at delivering knowledge graphs, managing diverse facts and rich metadata using the Semantic Web standards. GraphDB Enterprise Edition gives you this with massive scalability, high availability across different time zones, and all the management tools of a modern cloud infrastructure.

    By supporting all W3C RDF-related standards such as SPARQL, SHACL, RDFS, and multiple OWL profiles, GraphDB lets you take full advantage of semantic technology to build your knowledge graphs. In addition to the reasoning, inferencing, and data quality checking that implementation of these standards enables, GraphDB includes built-in text and data analytics that can extract even more meaning from your data to store as temporary or permanent additions in existing or new knowledge graphs.

    Ontotext customers around the world use GraphDB for data integration, data enrichment, publishing, metadata management, and more. An ecosystem of more than 50 partners continue to use Ontotext technology to provide new services and applications to an even broader range of customers.

    With GraphDB Enterprise Edition, you can get all these advantages with repositories holding up to a billion RDF triples, backed by a dedicated support team. GraphDB's web-based interface makes database administration easy, and its support for REST APIs such as RDF4J's lets large and small developers put the full power of GraphDB behind their own applications. The Bring Your Own License GraphDB offering gives you added flexibility in how and where you take advantage of these benefits on available local and cloud servers.

    Find out why well-known organizations in financial services, healthcare, life sciences, publishing, manufacturing, government, and more are using GraphDB to build and get the most out of their knowledge graphs.

    Highlights

    • GraphDB is an efficient, enterprise-grade, scalable RDF graph database that supports all relevant W3C RDF and SPARQL standards. Key GraphDB Enterprise features include cluster support and integration with external high-performance full text search applications such as Lucene, Solr, and Elasticsearch and Kafka connectors for synchronizing changes.
    • GraphDB streamlines the load and use of linked data cloud datasets with your own resources. GraphDB performs semantic inferencing at scale, letting users derive new knowledge from existing facts, and it handles massive loads, queries, and inferencing in real time.

    Details

    Sold by
    Ontotext 
    Categories
    Databases 
    Databases & Analytics Platforms 
    Data Integration 
    Delivery method
    Delivery option
    64-bit (Arm) Amazon Machine Image (AMI)
    Latest version
    Operating system
    Ubuntu 22.04-arm64

    Features and programs

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    Pricing

    GraphDB Enterprise Edition (ARM)

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    View purchase options
    Pricing and entitlements for this product are managed outside of AWS Marketplace through an external billing relationship between you and the vendor. You activate the product by supplying an existing license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. Subscriptions have no end date and may be cancelled any time. However, the cancellation won't affect the status of an active license if it was purchased outside of AWS Marketplace.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    For refund questions please reach out to sales@ontotext.com 

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (Arm) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    https://graphdb.ontotext.com/documentation/10.8/release-notes.html 

    Additional details

    Usage instructions

    Usage instructions can be found here https://graphdb.ontotext.com/documentation/10.7/aws-deployment.html 

    Note: The GraphDB Amazon Machine Image (AMI) does not include a data disk, which means data persistence is not inherently supported. To enable data storage and persistence, it is necessary to manually attach and mount an additional data disk to the instance. This will provide the capacity to store and retain data beyond the instance's lifecycle, allowing for a more reliable and secure data management solution.

    Support

    Vendor support

    Public community support can be accessed by reaching out to graphDB-support@ontotext.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Get support

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    Research

    GraphDB - a powerful tool for the semantic interpretation of data

    Reviewed on Aug 11, 2023
    Review provided by G2
    What do you like best about the product?
    I like GraphDB's ease of use, the combination of reasoning and querying capabilities, the customization options, and the freedom to even develop my own stand-alone applications via its Java API.
    What do you dislike about the product?
    The "per-CPU-core" licensing scheme is limiting performance even for small projects. I would prefer to have a licensing scheme that follows other scalability criteria such as number of parallel queries.
    What problems is the product solving and how is that benefiting you?
    Within our organization, GraphDB has been successfully used for years in a multitude of projects from different application domains (e.g., manufacturing, agriculture, energy) to persistently store and interpret our semantic models. It is typically embedded within a larger system that benefits from the generated additional insights and improves decision-making processes.
    Leave a comment0 comments
    Defense & Space

    GraphDb is a great tool for knowledge graphs

    Reviewed on Jan 06, 2023
    Review provided by G2
    What do you like best about the product?
    Supports interconnected data and their relatio n ships. They have great documentation and allows connectors to be defined to ensure elastic and graph are kept in sync. It also provides a sparql query console and provides great documentation.
    What do you dislike about the product?
    There's not much I dislike about GraphDb.
    What problems is the product solving and how is that benefiting you?
    It allows our organisation to manage interconnected data, as well as identify and establish relationships.
    Leave a comment0 comments
    Linda D.

    GraphDB the best tool to manage graphics databases.

    Reviewed on Dec 06, 2019
    Review provided by G2
    What do you like best about the product?
    Its main advantage and one of the favorites of the users is that its implementation is easy and fast, it is the ideal to generate queries in an IDE type environment and visualize relationships. Its compliance with several standards for exchange formats makes the path easier, regardless of what tool was used when generating an exchange file.
    What do you dislike about the product?
    The only disadvantage that I have presented with the tool, is that at the time of an update or a new version of the tool it is not updated automatically, that is, it must be downloaded manually and re-implemented.
    What problems is the product solving and how is that benefiting you?
    In the organization we use GraphDB in the marketing department in order to store, organize and manage content in the form of semantically enriched smart data. It is a tool that we like to use because its learning curve is very comfortable and easy to handle, it is a tool that has adapted quickly to our needs. Before we met GraphDB we were working with other tools that did not speed up the process as we expected, they were very slow when solving queries, today we are very grateful because GraphDB really does the work that we expect optimally proving to always be the most efficient .
    Recommendations to others considering the product:
    It is a tool that I would recommend in all organizations without any doubt, since it is a software that speeds up and optimizes the work process, that is, when implementing the tool in its assigned functions, it responds in a quick way allowing Saving a large amount of time when organizing, storing and managing all the relevant content of a company by converting it into semantic data, in addition to its wonderful functions, is a tool with an easy interface when it is used and fast when implementing it.
    Leave a comment0 comments
    Melissa A.

    GraphDB Accelerate performance !

    Reviewed on Feb 25, 2019
    Review provided by G2
    What do you like best about the product?
    With the right knowledge you will be equipped to take advantage of the performance of GraphDB, it is very quick.

    GDB has some very powerfull features for cleaning data, right where you need it. Visual exploration of graphs is really good and compered to other tools on the market, rund smoothly without draing battery.
    What do you dislike about the product?
    In my use case there is not one thing that I do not like, but for a later use, I read that the transaction is not well implemented, and we hope to configure the url path of api and gui separately
    What problems is the product solving and how is that benefiting you?
    It is very easy to setup and install local graphDB to store and upload files
    Recommendations to others considering the product:
    hay una curva de aprendizaje, así que prepárate y ten un poco de paciencia que pasarás por ella y luego la disfrutarás.
    Leave a comment0 comments
    Higher Education

    Great resources for those new to the semantic web and RDF

    Reviewed on Nov 26, 2018
    Review provided by G2
    What do you like best about the product?
    The resources, quick guides, and other information for new users is really helpful for those trying to get into the semantic web and RDF for the first time. The sample data is also great for getting started. User interface is very visually appealing and easy to navigate.
    What do you dislike about the product?
    There are a lot of excellent resources in many different places, which can lead to having too many web browser tabs open and getting lost switching between screens.
    What problems is the product solving and how is that benefiting you?
    Analysis of information on the semantic web to expand data analysis capabilities
    Leave a comment0 comments
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