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IoT Database that truly Scales

Accelerate your IoT projects with CrateDB and get real-time insights into high-volume IoT data.

In the world of Internet of Things, managing the volume, variety, and speed of data collected is a constant challenge. With its fast data ingestion, versatile data modeling, and real-time querying capabilities, CrateDB helps businesses harness the full value of high-volume data from thousands of sensors.

Traditional IoT database systems frequently struggle to keep up with the massive volumes of data generated by thousands of sensors. CrateDB overcomes this challenge by providing fast, scalable data ingestion, processing millions of IoT data points per second, while indexing and making data available for query in real-time. This enables businesses to achieve real-time monitoring, improved operational efficiency, and faster decision-making.

High performance

Easy scaling

CrateDB's scalability ensures it can handle large volumes of IoT data continuously coming in from different sources, accommodating the demands of industrial environments.

Time-series

CrateDB offers all features of an advanced time-series database and you keep getting query results in milliseconds, even for complex queries, multiple data types and high ingest rates, while storing years of data.

Versatile data model

CrateDB offers a versatile data model that supports a wide range of data types, e.g., geospatial data, time-series data, and BLOB. The solution is particularly well-suited for industrial IoT projects that encounter the challenge of handling vast quantities of diverse data.

Dynamic schema

CrateDB's dynamic schema capability allows IoT projects to seamlessly incorporate new sensor types and data structures in real-time.

Fault tolerance built-in

CrateDB has built-in data replication and cluster rebalancing mechanisms, providing fault tolerance to ensure uninterrupted operations and high availability.
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Easy and seamless integrations

CratDB offers a seamless integration process with popular IoT stack software such as Kafka, Grafana, Node-RED, and more.

View a sample list of integrations >

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Hybrid Edge Deployment

IoT projects often require deployment at the Edge and in the cloud to enable real-time decision-making and analytics in various connectivity scenarios. CrateDB effectively addresses this need by offering versatile deployment options, supporting both on-prem, Edge, and cloud environments.
Our customers might have a hundred of different vessels navigating in the seas with limited connectivity, so we actually need to work quite much both at the Edge and the Cloud.
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Marko Sommarberg Lead, Digital Strategy and Business Development ABB

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Examples of IoT queries

 

        
        

/* Based on IoT devices reports, this query returns the voltage variation over time

   for a given meter_id */
WITH avg_voltage_all AS (
    SELECT meter_id,
           avg("Voltage") AS avg_voltage,
           date_bin('1 hour'::INTERVAL, ts, 0) AS time
    FROM iot.power_consumption
    WHERE meter_id = '840072572S'
    GROUP BY 1, 3
    ORDER BY 3
)
SELECT time,
       (avg_voltage - lag(avg_voltage) over (PARTITION BY meter_id ORDER BY time)) AS var_voltage
FROM avg_voltage_all
LIMIT 10;


        
        
        
        

+---------------+-----------------------+
|          time |           var_voltage |
+---------------+-----------------------+
| 1166338800000 | NULL                  |
| 1166479200000 |   -2.30999755859375   |
| 1166529600000 |    4.17999267578125   |
| 1166576400000 |   -0.3699951171875    |
| 1166734800000 |   -3.7100067138671875 |
| 1166785200000 |   -1.5399932861328125 |
| 1166893200000 |   -3.839996337890625  |
| 1166997600000 |    9.25               |
| 1167044400000 |    0.4499969482421875 |
| 1167174000000 |    3.220001220703125  |
+---------------+-----------------------+


        
        
        
        

/* Based on IoT devices reports, this query returns the voltage corresponding to

   the maximum global active power for each meter_id */
SELECT meter_id,
       max_by("Voltage", "Global_active_power") AS voltage_max_global_power
FROM iot.power_consumption
GROUP BY 1
ORDER BY 2 DESC
LIMIT 10;


        
        
        
        

+------------+--------------------------+
| meter_id   | voltage_max_global_power |
+------------+--------------------------+
| 840070437W |                   246.77 |
| 840073628P |                   246.69 |
| 840074265G |                   246.54 |
| 840070238E |                   246.35 |
| 840070335K |                   246.34 |
| 840075190M |                   245.15 |
| 840072876X |                   244.81 |
| 840070636M |                   242.98 |
| 84007B113A |                   242.93 |
| 840073250D |                   242.28 |
+------------+--------------------------+


        
        
        
        

/* Based on IoT devices reports, this query returns the voltage corresponding to

   the maximum global active power for each meter_id */
SELECT meter_id,
       MAX_BY("Voltage", "Global_active_power") AS voltage_max_global_power
FROM iot.power_consumption 
GROUP BY 1 
LIMIT 10;


        
        
        
        

+------------+--------------------------+
|   meter_id | voltage_max_global_power |
+------------+--------------------------+
| 840073190N |          233.57          |
| 840072401F |          233.53          |
| 840072655G |          234.1           |
| 840071893D |          234.47          |
| 840073950P |          231.73          |
| 840075260N |          235.51          | 
| 840076398A |          234.56          |
| 84007B071E |          231.94          |
| 840075959Y |          237.21          |
| 840072534A |          231.96          |
+------------+--------------------------+
“CrateDB is the only database that gives us the speed, scalability and ease of use to collect and aggregate measurements from hundreds of thousands of industrial sensors for real-time visibility into power, temperature, pressure, speed and torque.”
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Jürgen Sutterlüti VP Gantner Instruments
SPGo! is part of PETROMIN, which has more than 23 years of experience in the mining and oil industries. They build applications for monitoring all material conveyor belt idlers every minute 24 hours a day through online sensors. They use CrateDB as a central database to capture and query data from 30,000 sensors per mine, representing 760 million records a day.

"With CrateDB, we can continue designing products that add value to our customers. We will continue to rely on CrateDB when we need a database that offers great scalability, reliability and speed."

 

Nixon Monge Calle
Head of IT Development and Projects
SPGo! Business Intelligence

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SPGo
Thomas Concrete Group is the world- leader organization in the construction industry with 150+ concrete plants and 2,100+ employees. They use CrateDB both for tracking of their delivery trucks and tracking the curing of the concrete in real-time.

"Thanks to CrateDB's great indexing, dedicated data types, and subsequent great performance, we could execute an event and data-driven architecture, with the performance and scalability necessary for storing time-series data over time. The SQL query syntax capability of CrateDB also played a part in achieving this great outcome, as it made it easy for the team to write good performing queries using existing know-how. CrateDB is now an integral part of our big data streaming architecture and it is delivering as promised."

Kristoffer Axelsson
Principal Solution Architect
Thomas Concrete Group

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Thomas
Roomonitor specializes in IoT climate control systems that monitor and control air conditioning for the hospitality industry. They use CrateDB as an IoT database able to give property managers real-time insight to monitor air conditioning costs and tenant comfort.

"CrateDB's unmatched concurrency capabilities and simple scaling made it the best solution for us. We tried other solutions, including MongoDB, but it was difficult and expensive to scale for our needs. Plus, CrateDB is SQL, which 90 percent of today's developers know well, and that makes hiring new developers easier."

Waseem Javid Nasiri
Senior developer
Roomonitor

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roomonitor
alpla-philipp-lehner
"We collect continuous production data on the shopfloor and capture huge volumes of raw data long-tern for advanced data science going forward. CrateDB makes this very easy for us."
Philipp Lehner
CEO
ALPLA

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Other Industrial IoT resources

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While IIoT adoption does require a new approach to managing and analyzing data collected in real-time, this isn’t as difficult as many manufacturers believe.

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This webinar showcases how CrateDB facilitated SPGo! in achieving a 30% increase in data-driven predictive maintenance by effectively managing vast amounts of IIoT data from over 40,000 sensors and processing 760 million records daily.

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Learn how Thomas Concrete Group is using Create DB to monitor crucial processes of their supply chain, such as the concrete delivery to the customer on-site or the concrete curing process.

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Product documentation

Data types

Explore the full list of data types supported by CrateDB.
 

Logical replication setup between CrateDB clusters

Learn about logical replication, a method of data replication between multiple clusters.
 

CrateDB on Azure IoT

Read about the reference architecture of CrateDB on Azure IoT.
 

Optimistic Concurrency Control

Learn how CrateDB achieves Optimistic Concurrency Control using internal system columns (_seq_no and _primary_term), allowing users to understand how to handle optimistic updates and deletes.
 

Blog

How the Thomas Concrete Group is adding value to its customers with IoT projects powered by CrateDB (Part I)

Find out how Thomas Concrete, a world-leader in the concrete business, is adding value to their customers thanks to industrial IoT.

Read more
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How the Thomas Concrete Group is adding value to its customers with IoT projects powered by CrateDB (Part II)

Thomas Concrete keeps implementing digitalization projects to improve its service. Now, their customers can track the curing of their concrete in real-time, monitoring its strength and temperature through sensor data stored in CrateDB.

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Why are IIoT projects failing?

The industrial IoT implies huge advantages for manufacturers. However, to fully implement IIoT projects is being challenging for many industries.

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