Ease of use (compared to other semantic web stack solutions). Degree of inferencing implementation.

Over the last years, GraphDB has improved a lot, speaking about performance and inference.

While not impossible it is rather awkward though.

Solution for transforming relational data into RDF with OpenRefine integration. Query performance (for SELECT, a evaluation for INSERT queries could not be given due to use of free version).

The User interface is quite nice, and appealing. The blogs are well written and very informative, and is a good means to keep customers updated with the latest developments in the area of semantics.

We've had a really good time working with it. Once we have a good model definition (which applies for any graph engine) it simply works and works really well.

Graph database are poor at aggregating data,Don't use it for Business Intelligence. It is difficult to implement versioning/auditing of data in a graph database.

Visualization of the graph does not work, at least not with the settings I tried (no inference).

I can be very short about my (our) experiences so far with GraphDB. GraphDB is a clear winner for our usecases now.

The webservice api allows manipulation of the repositories (create, delete, import). The only problem is that after some updates, the speed of the endpoint queries dorps very much.

I Like this product because is easy to start, it has a REST api and UI simple to use.

Simplicty i liked unlike SQL Databases where relationship becomes so complex and then you Normalize. Being Simple, we can easily handle objects in very easy way.

OntoRefine is a great way of moving tabular data in triples. The APIs are very well designed, Customer service and technical support is excellent.

Graph DB has been always the most performant one. Another feature that I loved from it is that, in order to install it, you simply copy a single jar file and you're almost ready to go.

Good performance, a lot of features, great UI and documentation, ease of administration and use.

Powerful but demands a lot from IT department.

Free trial downloads for many different operating systems. Support of an SQL-compatible query language is a big plus.

We can easily connect Microsoft Azure or AWS cloud storage with this platform. Also, it works very smoothly with transferring of databases to the desired clusters.

It is difficult for any beginner to learn this tool. Also, Cluster Management is a bit complex as compared to other tools and there's no support for community versions.

Defining a few simple indexes can degrade the performance to a point where the product becomes unusable. Couchbase support and docs are vague in how to get the unmatched performance they advertise.

At any time, the required services and support can be purchased separately in an independent plan. The transfer of databases to the desired clusters is very clean and smooth.

Many a time it goes crazy when a change is made to inter-connected buckets and the system fails to recognize this and also found data manipulation language not to work.

US Dollar

GraphDB is a database management solution that helps businesses in finance, publishing, healthcare and other industries create knowledge graphs and streamline data indexing operations. The built-in NoSQL database system allows IT teams to manage storage and retrieval of data from relational databases.


The platform enables employees to parse structured data in JSON, XML, CSV, XLS and other formats and perform semantic searches in real-time. Features of GraphDB include data storage management, reporting, semantic tagging, data visualization and more. Additionally, it lets IT professionals generate and store the resource description framework (RDF) data in a centralized repository.


GraphDB facilitates integration with a document-based database system, MongoDB, which enables users to automate the database querying processes. Pricing is available on request and support is extended via phone, email and a knowledge base.



LongDescription

User Management

Data Verification

Database Support

Access Controls/Permissions

Data Storage Management

Data Synchronization

SSL Security

Semantic Search

Graph Database

Data Capture and Transfer

Full Text Search

Data Import/Export

NOSQL Database Management

Performance Testing

Real Time Data

Data Retrieval

Data Connectors

Role-Based Permissions

Data Virtualization

Activity Dashboard

Data Visualization

Multiple Data Sources

Authentication

Performance Analysis

Data Recovery

Monitoring

Backup and Recovery

Secure Data Storage

Data Replication

Third-Party Integrations

Indexing

Data Mapping

Search/Filter

Windows 7

Windows Vista

Windows XP

Mac OS

Linux

Windows 8

Windows 10

GraphDB offers a 60-day free trial for new users, after which the software is available across 3 pricing tiers - GraphDB Enterprise, GraphDB Standard, and GraphDB Free on a perpetual license basis. Please contact Ontotext directly for pricing information.

Email/Help Desk

FAQs/Forum

Knowledge Base

Phone Support

Chat

Self-Employed

2-10

11-50

51-200

201-500

501-1000

1000+

GraphDB

In Person

Live Online

Webinars

Documentation

Videos

Couchbase Server is a NoSQL cloud database management system, which helps small to large businesses across manufacturing, retail, IT, energy, hospitality, finance or telecommunication sectors prepare, store, manipulate, aggregate and retrieve data. 


Couchbase Server comes with a query workbench, which allows developers to edit queries through multi-line formatting, syntax coloring and auto-completion of N1QL keywords, view document structures and display query results in JSON, table and tree formats. It lets supervisors inspect active, completed and prepared queries including details such as nodes, duration, request ID and more. Administrators can utilize built-in auditing, role-based access control, certification and encryption functionalities to protect data. 


It provides integration with third-party platforms Kubernetes and RedHat OpenShift, automating the configuration, scaling and recovery of Couchbase data clusters. The solution is available for free and on subscriptions and support is provided via documentation, forums, phone and online measures.



GraphDB vs Couchbase Server

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