GraphDB Cloud is an enterprise grade RDF graph database providing high-performance querying over large volumes of RDF data. On this webinar, Ontotext demonstrates how to instantly create and deploy a fully managed Graph Database, then import & query data with the (OpenRDF) GraphDB Workbench, and finally explore and visualize data with the build in visualization tools.

1. Ontotext GraphDB Cloud –
Enterprise Ready RDF Database
on Demand
Live Webinar
July 2017

2. GraphDB Training: Devops
↗Delivery: end of September (3 days of pre-
training and live sessions)
↗Target audience
↗ Developers that want to learn semantic technology
↗Administrators of graph and semantic databases
↗Technical and Information architects who work with semantic
technology
↗Syllabus
↗Product editions and features
↗Administration & Monitoring
↗GraphDB APIs and connections
↗SPARQL
↗Reasoning
↗Connectors

3. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

4. Ontotext Cognitive Cloud
↗New Cognitive Cloud: Secure and fully
managed service
↗ GraphDB Cloud
↗Text Analytics (vertical & dynamic)
↗Semantic search and navigation
↗AI driven visual and predictive analytics
↗Access to knowledge graphs (integrated and on demand)
↗Discontinue S4
↗Stop sign up next week
↗Support for two months
↗Migration plan to Ontotext Cognitive Cloud

5. GraphDB Cloud Database as a Service
↗Latest GraphDB database release
↗ Scales with your data needs easily and on demand
↗Single click provisioning
↗Available in the cloud 24/7 (greater than 99.0%)
↗Latest GraphDB Workbench
↗Easy monitoring of memory and CPU load
↗Visual analytics over semantic graphs
↗SPARQL syntax highlighting, autocompleting and result-set
navigation
↗Automated and on-demand backups
↗Access GraphDB Cloud using industry
standards
↗SPARQL Endpoint and REST APIs
↗SSL secured API endpoints
↗OntoRefine for easier data ingestion

6. GraphDB Cloud Tiers and Pricing
↗Basic: Evaluation of the product and
prototypes.
↗L1: 100k triples; 1 repository
↗L2: 1 million triples; 1 repository
↗Standard: Small production where
performance is not critical.
↗L1: 5 million triples; 2 repositories
↗L2: 10 million triples; 4 repositories
↗Enterprise: Large production with high
traffic and predictable performance.
↗L1: 50 million triples; 8 repositories
↗L2: 250 million triples; 16 repositories
↗L1: 1 billion triples; 16 repositories
↗L2: 10 billion triples; 16 repositories
$9
$19
$69
$249
$499
$999
$1499

7. GraphDB Cloud Help and Support
↗Basic
↗Online documentation
↗Issue tracking (5 days response time)
↗Standard
↗Basic +
↗Email support (2 days response time)
↗Enterprise
↗Standard +
↗Slack channel (24 hours response time)
↗Per account options available (L3 and L4)
↗Custom
↗Per account SLA

8. GraphDB Cloud Status and Roadmap
↗Status
↗Beta version with early access
↗Basic and Standard functional
↗Automatic and manual backups
↗Restore from 5 backups
↗Clone your database for staging and production
↗Upgrade your database to higher level
↗Roadmap
↗Feedback from community
↗Better monitoring and support
↗Better synchronization of Workbench and Cloud for
Administration
↗Number of backups depending on the Tier
↗Reserve resources for Enterprise Tier
↗Automatic deployment of Elastic search plug in for Enterprise
Tier

9. GraphDB
Free
GraphDB
Standard
GraphDB
Enterprise
GraphDB
Cloud
Basic
GraphDB
Cloud
Standard
GraphDB
Cloud
Enterprise
GraphDB
Cloud
Custom
RDF and SPARQL 1.1 support
RDFS, OWL2 RL and QL
reasoning
Efficient query execution
Workbench interface
Community support
CPU cores 2
connection
s
No limit No limit 4 virtual
shared
cores
4 virtual
shared
cores
2-8
virtual
reserved
cores
No limit
RAM No limit No limit No limit 1 GB 2.7–3.6
GB
5.5–31
GB
No limit
Disk space No limit No limit No limit 1 GB 2–4 GB 4–320
GB
No limit
Triples No limit No milit No limit 100k-1m 5m-10m 50m-10b No limit
Elasticsearch & SOLR Lucene Lucene Lucene Lucene Auto
GraphDB Portfolio

10. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

11. GraphDB Cloud Architecture

12. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

13. ↗Log in and GraphDB provisioning
↗Create repository
↗Load data
↗Back up and restore
↗Clone and Upgrade
↗Metrics and Resources monitoring
↗Endpoint and Keys
↗Suspend and Delete
GraphDB Cloud Features

14. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

15. Use Case: Distribution of the top 50
organisations by revenue across the top 50
countries by GDP
•Import data for countries gross domestic
product (Wikipedia )
•Import data for organisations and their
revenue (Wikipedia)
•Interlink both datasets using knowledge
from GeoNames
•Explore the linked resources

16. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

17. Outline
↗GraphDB Cloud: Vision and
Roadmap
↗GraphDB Cloud: Architecture,
Workflow, Tiers
↗Demo
↗GraphDB Cloud: Use Case
↗Demo
↗Q&A

18. Start Free with GraphDB Cloud Today: https://cloud.ontotext.com
Contact us: cloud-info@ontotext.com
Contact Support: graphdb-cloud-support@ontotext.com
Follow us on Twitter: https://twitter.com/cognitive_cloud
Ontotext Cognitive Cloud: https://ontotext.com/products/cognitive-cloud
Thank you
for your attention!