CrateDB is a distributed SQL database that combines the familiarity of SQL with the scalability and flexibility of NoSQL. It offers features like simple scalability through automatic data rebalancing, transactional capabilities, real-time data ingestion with millisecond query performance, and time series analysis through automatic table partitioning. CrateDB can be run anywhere, connected to from various languages and applications, and extended through plugins. It is well-suited for IoT applications involving millions of data points per second with real-time queries.

1. Simply Scalable SQL
Sense, Analyze, Predict and Control in Real-time
Giacomo Ceribelli Pervasive Systems 2018

2. What is CrateDB?
CrateDB is a distributed
SQL database built on top
of a NoSQL foundation.
It combines the familiarity of
SQL with the scalability and
data flexibility of NoSQL.

3. FEATURES

4. Top Features
❏ Simply Scalable
Automatic data rebalancing and a shared-
nothing architecture enable you to scale
simply.
❏ Transactional
CrateDB is eventually consistent, but offers
transactional semantics. CrateDB is consistent at
the row level, so each row is either fully written or
not.

5. Top Features
❏ Real-time data ingestion
CrateDB can deliver millisecond-speed query
performance, even when writes are in action.
❏ Time series analysis
CrateDB makes time series analysis fast and
easy with automatic table partitions

6. Relational
Database
Document
Database
Blob
Store
Powerful
Search
GridHS
HDFS
e.g e.g e.ge.g

7. Openness and
flexibility
➢ Run CrateDB anywhere, in your data
center or in the cloud
➢ Connect to CrateDB from most any
language or SQL application
➢ Extend CrateDB functionality by writing
your own plug ins
➢ Deploy CrateDB as a container on
Docker, Kubernetes, or others
➢ Use CrateDB for free, under the Apache
2.0 open source license.

8. Why is Crate
built for IoT?
● Millions of data points per second
● Real-time queries
● Built-in MQTT broker
● IoT Analytics
● At the Edge and the Cloud

9. How to Run
Crate
Just open the terminal and run
bash -c "$(curl -L try.crate.io)"
It will start downloading and
executing Crate in local

10. Edit crate.yml file in order to
configure and run Crate with
selected preferences
e.g.
● cluster.name: pervasiveSystems
● node.name: Node 1
● discovery.zen.minimum_master_nodes: 2
● network.host: _site_
● bootstrap.memory_lock: False
Configuration

11. CrateDB Admin UI
General Tools
● General Overview of the Cluster
● SQL Console for Live Querying
● Table Visualization
● Nodes Visualization
● Live Monitoring
● Users Logs and Privileges

12. How to scale
● Master Nodes must be at
least half of the total nodes.
● Possibility to add a Node in
every situation
● If a Node crash the load is
redistributed without
problems
Master
Node
Master
Node
Slave
Node
Slave
Node
Slave
Node
Cluster

13. JOIN THE CLUSTER
It is possible to run an Instance of
CrateDB on any device as a node,
just download it and join the data
cluster.

14. RealTime Queries
Thanks to SQL Handler,
queries can be executed
as in any other SQL DB
also if built on top of
NoSQL.
SQL syntax is well known
and there is a wide
support on the web.
SQL query

15. Data visualization
Possibility of graph monitoring:
➢ Query Speed
➢ Query per second
➢ CPU (overall and CrateDB) usage
➢ Heap usage
➢ Disk usage
➢ Disk I/O

16. DEMO TIME

17. Video Demo

18. Final Thoughts

19. Thank You
GitHub Profile
https://github.com/ceribbo/crate
LinkedIn
https://www.linkedin.com/in/giacomo-ceribelli/
Giacomo Ceribelli