The Internet of Things (IoT) presents a unique and massive data challenge. Your platform needs to ingest high-velocity data from thousands or millions of devices, manage their state in real-time, and constantly adapt as new device types and firmware versions come online.
Traditional databases, with their rigid schemas and scaling limitations, simply weren't built for the dynamic nature and sheer scale of IoT.
StatelyDB provides a purpose-built data platform for IoT that handles massive growth and constant evolution with ease.
Scale your device fleet from thousands to millions without complexity explosions and focus on building innovative features, not on managing a brittle data infrastructure.
IoT platforms face a unique convergence of data problems that can quickly overwhelm conventional databases, leading to performance bottlenecks, operational nightmares, and stalled innovation.
Each device in your fleet is a constant source of data—status updates, sensor readings, and events. Multiplying this by millions of endpoints creates an ingestion velocity that can saturate relational databases and a query volume that is impossible to serve performantly.
Each device in your fleet is a constant source of data—status updates, sensor readings, and events. Multiplying this by millions of endpoints creates an ingestion velocity that can saturate relational databases and a query volume that is impossible to serve performantly.
The IoT landscape never stands still. A new generation of your hardware ships with different sensors, a firmware update adds new telemetry data, or you acquire a company with an entirely new product line. With a traditional database, each of these changes requires a risky, downtime-inducing schema migration that can break older, in-field devices.
The IoT landscape never stands still. A new generation of your hardware ships with different sensors, a firmware update adds new telemetry data, or you acquire a company with an entirely new product line. With a traditional database, each of these changes requires a risky, downtime-inducing schema migration that can break older, in-field devices.
You need to know the current state of any device, at any time. Building dashboards to monitor a fleet of millions of devices or sending commands to specific device groups requires an efficient way to query and synchronize state without repeatedly fetching terabytes of data.
You need to know the current state of any device, at any time. Building dashboards to monitor a fleet of millions of devices or sending commands to specific device groups requires an efficient way to query and synchronize state without repeatedly fetching terabytes of data.
IoT platforms face a unique convergence of data problems that can quickly overwhelm conventional databases, leading to performance bottlenecks, operational nightmares, and stalled innovation.
IoT platforms face a unique convergence of data problems that can quickly overwhelm conventional databases, leading to performance bottlenecks, operational nightmares, and stalled innovation.
Each device in your fleet is a constant source of data—status updates, sensor readings, and events. Multiplying this by millions of endpoints creates an ingestion velocity that can saturate relational databases and a query volume that is impossible to serve performantly.
The IoT landscape never stands still. A new generation of your hardware ships with different sensors, a firmware update adds new telemetry data, or you acquire a company with an entirely new product line. With a traditional database, each of these changes requires a risky, downtime-inducing schema migration that can break older, in-field devices.
You need to know the current state of any device, at any time. Building dashboards to monitor a fleet of millions of devices or sending commands to specific device groups requires an efficient way to query and synchronize state without repeatedly fetching terabytes of data.
IoT platforms face a unique convergence of data problems that can quickly overwhelm conventional databases, leading to performance bottlenecks, operational nightmares, and stalled innovation.
StatelyDB is architected to solve these core challenges, providing a scalable, flexible, and efficient foundation for your IoT platform.
StatelyDB is architected to solve these core challenges, providing a scalable, flexible, and efficient foundation for your IoT platform.
StatelyDB is architected to solve these core challenges, providing a scalable, flexible, and efficient foundation for your IoT platform.
StatelyDB is architected to solve these core challenges, providing a scalable, flexible, and efficient foundation for your IoT platform.
StatelyDB is designed for the partitioned workloads inherent to IoT. By using a device ID or customer ID as the group key, you can ensure that all data for a single entity is co-located. This allows for massive horizontal scaling and guarantees consistent, low-latency performance whether you have one thousand devices or ten million.
Ingestion and queries are distributed across the cluster, eliminating the bottlenecks that plague monolithic databases.
Ingestion and queries are distributed across the cluster, eliminating the bottlenecks that plague monolithic databases.
StatelyDB is designed for the partitioned workloads inherent to IoT. By using a device ID or customer ID as the group key, you can ensure that all data for a single entity is co-located. This allows for massive horizontal scaling and guarantees consistent, low-latency performance whether you have one thousand devices or ten million.
StatelyDB is designed for the partitioned workloads inherent to IoT. By using a device ID or customer ID as the group key, you can ensure that all data for a single entity is co-located. This allows for massive horizontal scaling and guarantees consistent, low-latency performance whether you have one thousand devices or ten million.
Ingestion and queries are distributed across the cluster, eliminating the bottlenecks that plague monolithic databases.
StatelyDB is designed for the partitioned workloads inherent to IoT. By using a device ID or customer ID as the group key, you can ensure that all data for a single entity is co-located. This allows for massive horizontal scaling and guarantees consistent, low-latency performance whether you have one thousand devices or ten million.
Your device hardware and software will change. StatelyDB's Elastic Schema™ is the key to managing this constant evolution without risk.
When a new device version with an updated data payload comes online, you simply create a new, compatible version of your schema. StatelyDB handles the transformation automatically, ensuring your backend applications can seamlessly handle data from both old and new devices.
When a new device version with an updated data payload comes online, you simply create a new, compatible version of your schema. StatelyDB handles the transformation automatically, ensuring your backend applications can seamlessly handle data from both old and new devices.
Need to add a new sensor reading or a configuration parameter? Just add the field to your schema. There's no need for a complex data migration, and existing devices in the field continue to operate flawlessly. This allows you to innovate and ship updates at the speed of software, not hardware.
Need to add a new sensor reading or a configuration parameter? Just add the field to your schema. There's no need for a complex data migration, and existing devices in the field continue to operate flawlessly. This allows you to innovate and ship updates at the speed of software, not hardware.
Your device hardware and software will change. StatelyDB's Elastic Schema™ is the key to managing this constant evolution without risk.
Your device hardware and software will change. StatelyDB's Elastic Schema™ is the key to managing this constant evolution without risk.
When a new device version with an updated data payload comes online, you simply create a new, compatible version of your schema. StatelyDB handles the transformation automatically, ensuring your backend applications can seamlessly handle data from both old and new devices.
Need to add a new sensor reading or a configuration parameter? Just add the field to your schema. There's no need for a complex data migration, and existing devices in the field continue to operate flawlessly. This allows you to innovate and ship updates at the speed of software, not hardware.
Your device hardware and software will change. StatelyDB's Elastic Schema™ is the key to managing this constant evolution without risk.
Building a real-time dashboard to monitor a massive device fleet is a classic IoT challenge. Repeatedly polling the state of every device is prohibitively expensive and slow.
StatelyDB's Efficient Data Synchronization powered by the SyncList API provides the solution. Your monitoring applications can subscribe to changes for a specific group of devices (e.g., all devices for a customer, or all devices in a geographic region). Instead of fetching the full state of every device on a polling interval, SyncList returns only the delta—the devices that have changed state (e.g., gone offline, reported an error, or received a software update) since the last check.
This reduces database costs and network bandwidth by orders of magnitude, making it feasible to build highly responsive, real-time fleet management tools.
This reduces database costs and network bandwidth by orders of magnitude, making it feasible to build highly responsive, real-time fleet management tools.
Building a real-time dashboard to monitor a massive device fleet is a classic IoT challenge. Repeatedly polling the state of every device is prohibitively expensive and slow.
StatelyDB's Efficient Data Synchronization powered by the SyncList API provides the solution. Your monitoring applications can subscribe to changes for a specific group of devices (e.g., all devices for a customer, or all devices in a geographic region). Instead of fetching the full state of every device on a polling interval, SyncList returns only the delta—the devices that have changed state (e.g., gone offline, reported an error, or received a software update) since the last check.
Building a real-time dashboard to monitor a massive device fleet is a classic IoT challenge. Repeatedly polling the state of every device is prohibitively expensive and slow.
StatelyDB's Efficient Data Synchronization powered by the SyncList API provides the solution. Your monitoring applications can subscribe to changes for a specific group of devices (e.g., all devices for a customer, or all devices in a geographic region). Instead of fetching the full state of every device on a polling interval, SyncList returns only the delta—the devices that have changed state (e.g., gone offline, reported an error, or received a software update) since the last check.
This reduces database costs and network bandwidth by orders of magnitude, making it feasible to build highly responsive, real-time fleet management tools.
Building a real-time dashboard to monitor a massive device fleet is a classic IoT challenge. Repeatedly polling the state of every device is prohibitively expensive and slow.
StatelyDB's Efficient Data Synchronization powered by the SyncList API provides the solution. Your monitoring applications can subscribe to changes for a specific group of devices (e.g., all devices for a customer, or all devices in a geographic region). Instead of fetching the full state of every device on a polling interval, SyncList returns only the delta—the devices that have changed state (e.g., gone offline, reported an error, or received a software update) since the last check.
Don't let your database be the thing that holds you back. StatelyDB provides the scalable and adaptable foundation you need to connect the next million devices and beyond.