SQL made scalable for time-series data.

An open-source database optimized for fast ingest and complex queries. Fully compatible with Postgres.

                      
                  

How we scaled SQL

Time-series workloads are different. iobeam introduces special partitioning and distributed query optimizations to unlock new possibilities for SQL.

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Ease of use

Query with standard SQL. Connect to tools that speak standard database connections. Your team and infra already knows how to use it.

Fast queries

iobeam incorporates data and query optimizations so you can query more data, faster. Support for secondary indexes and rich query predicates.

High ingest rates

In a world where data is king, your business can’t afford bottlenecks. Our database allows you to take in more data, faster.

Real time

Write and observe individual data records as soon as they’re available. Monitor and query live data. Don’t be limited by a database that requires large batch loads.


An open-source database for time-series data

Scaling SQL for high ingest rates and complex queries

Engineered up from PostgreSQL

Rock-solid reliability

Trust in PostgreSQL’s 20-year open-source record and strong developer community

Mature ecosystem

Connect via standard ODBC, JDBC, or postgres for 3rd-party viz tools, BI tools, web platforms and ORMs

Standard interface

Leverage your team’s existing comfort with SQL and Postgres

Operational ease

Reuse known and trusted methods for backups, snapshots, replication, and other operational tasks

Connect third-party tools

via standard ODBC, JDBC, Postgres connectors

“We’re now using the data from iobeam heavily for our customer support operations. We’re really happy with it and are really benefitting from the service. Thank you!”

- Dan P., Kuna Systems

Business stories

  • Smart Home

  • Industrial Machine Learning

  • Transportation and Logistics

  • IoT Platforms

Smart Home

When a smart home company first launched, they noticed that their customers were having numerous unexpected problems with their device, leading to negative reviews. Realizing that they needed better insight into how their devices were performing, they turned to iobeam. Now, with iobeam’s time-series database, they are able to store much more device telemetry than before, and ask complex questions in real-time: e.g., how many errors were generated in the last 24 hours by firmware version; how has the latest software update affected battery life; how many of our devices are experiencing low resource capacity at the moment? With this live monitoring data, the company can now better spot problems, is proactively resolving problems before customers complain, and have improved customer retention.

Blog

Software is Eating Humanity

Nov 17, 2016

Nest and the Internet of Broken Promises (and how to fix it)

Apr 8, 2016

Latest press

There is no IoT

Nov 20, 2016, TechCrunch

Vendors see rise of hardware as a service

Oct 19, 2016, Washington Technology

The Internet of Things Is Here, and It Isn’t a Thing

Aug 21, 2016, Wall Street Journal

How Hardware-as-a-Service will Save IoT

Jul 6, 2016, TechCrunch