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Method Changelog Pricing Join Discord   →

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Generative AI for Observability.
Observability for Generative AI.

iceburst lets you easily monitor your infrastructure, applications, databases,
networks, data streams, microservices & more - all in one unified platform.

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Documentation


Why did we build Iceburst?

Most monitoring tools do the same

They install an agent or poll data through an API, send it to their time-series
database, and then provide you with dashboards and charts to look at. This may
seem good at first, but it causes more pain than cure when it comes time to
scale up to terabytes per day.

 * Data Visibility
   
   Deciding what to log and what not to log, and resorting to sampling or
   compression to keep the costs low.

 * Latency & Throughput
   
   Centralized logging is a real drag. It takes forever to scan the log data and
   get the results.

 * Pricing Model
   
   Pricing plans that are stuck in the 90's. Vendors have exploited companies
   with GBs or rows ingested and retained.


HOW'S ICEBURST DIFFERENT?

Our approach is simple: ingest the OpenTelemetry data in an S3 bucket as Parquet
files in Iceberg table format and query them using DuckDB with milliseond
retrieval and zero egress cost.

 * 01. Instrument and log everything ― Build a culture of deep observability in
   your team from day one without worrying about costs.
 * 02. Run fast queries, faster ― DuckDB's fast query processing with Parquet's
   columnar encodings and Iceberg's table format provides incredible
   performance.
 * 03. No-brainer pricing ― Don't let your observability cost increase linearly
   with the amount of data you generate. Simple, predictable pricing is better
   than complicated, usage-based pricing.



Platform for hypergrowth

Build composable data systems that grows with you. Just like iceberg.




Different by design

iceburst ticks all your checkboxes

Our approach is opinionated, offering tools and systems for monitoring and
security. This means that you do not have to build another observability
pipeline, provision a Kafka cluster, or manage Flink jobs. We will take care of
chaining everything together for you.

 * Composable
   
   Build composable data systems that grows with your requirements.

 * Interoperable
   
   Built on open standards like OpenTelemetry, Iceberg and Arrow for
   interoperability.

 * Standards
   
   Ibis, Substrait and DuckDB enable standardized SQL query plan execution.

 * Purpose-built
   
   Move over plain vanilla data tools for development decisions and workflows.

Our Favorite Part

Why developers actually ❤️ iceburst?


 * 01. Dark Mode ― This was our most requested feature. Some potential users
   even said they wouldn't pay until we enabled dark mode. It seems like we
   didn't have much of a choice.
 * 02. Multiplayer Mode ― Figma and Google Docs style collaboration to
   investigate issues together as a team. Debugging without the bugging.
 * 03. Keyboard Shortcuts ― Iceburst is fully equipped with keyboard shortcuts
   so you can do everything you need without ever touching your mouse. Clickity
   clackity klack!
 * 04. CMD + K ― Forgot your shortcuts? Fret not. Just hit ⌘ + K that brings the
   same interactivity without having to remember them. Easy peasy lemonsqueezy!

Expert Opinion

The full power of open standards

Join our community of early adopters, advocates and contributors.

Join Discord -->

 * "This is the future of databases. It is too expensive / time-consuming to
   build a DBMS from scratch. If you want a new OLAP DBMS, start with Velox /
   Arrow+@VoltronData / Clickhouse / @DuckDB. If you want a new OLTP DBMS, start
   with @PostgreSQL / @RocksDB / @WiredTigerInc."
   
   Andy Pavlo, Associate Professor of Databases at CarnegieMellon

 * "In the unbundled OLAP architecture, data is stored directly in object stores
   like S3 or GCS. Indexing is handled by formats like Hudi and Iceberg, which
   then structure and provide transactional guarantees over the data to be
   queried by a distributed query engine like Trino, or in-process with DuckDB."
   
   Bucky Moore, Partner at Kleiner Perkins Venture Capital

 * "All coding projects have two parts - the fun part where you get to create
   and the painful part where you have to debug. Code LLMs are automating the
   fun parts while introducing bugs and not helping much with debugging. As a
   developer, you're left with more pain to deal with. "
   
   Delip Rao, Founder at MangoMind AI and author of NLP with PyTorch

Ready to roll?

Bring your buckets,
we'll handle the rest.

Monitor any stack, any application, at any size, anywhere.

Get started for free


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We will notify you as soon as we're ready to onboard you.

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Get Early Access

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Developed Worldwide.


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