Deep BI

Deep BI is a Poland-based analytics firm specializing in real-time data processing and OLAP platforms, founded in 2016 by engineers with deep expertise in Apache Druid.

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Provides support and development for real-time analytics platforms using open-source technologies like Apache Druid.

Deep BI is a Poland-based analytics firm specializing in real-time data processing and OLAP platforms, founded in 2016 by engineers with deep expertise in Apache Druid. The company has carved a niche as a support and development partner for enterprises implementing open-source technologies like Druid, StarRocks, and Apache Flink. With over 300 production clusters supported globally, Deep BI claims to optimize systems for 50% faster performance at lower costs compared to untuned deployments.

Their client base spans North America, Europe, and Asia, including named accounts like Roche, Atos, and EXFO. While private funding details are undisclosed, their revenue model relies on professional services and proprietary tools built atop open-source stacks. In 2026, their differentiation lies in vertical expertise for observability platforms and AI feature pipelines, though reliance on third-party open-source projects presents both flexibility risks and opportunities.

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Who buys this

  • Enterprise IT teams deploying real-time analytics
  • Telecom and healthcare companies needing observability solutions
  • E-commerce platforms requiring OLAP performance optimization
  • Financial services firms processing high-velocity transaction data

Publicly disclosed clients

  • Roche
  • Atos
  • EXFO
  • Vistar Media
  • Teamworks

Strengths and what to watch

Strengths

  • Specialized expertise in Apache Druid tuning and optimization
  • Proven track record with 300+ production deployments
  • Open-source approach eliminates vendor lock-in for clients

Watch for

  • Dependence on Apache Druid's ecosystem roadmap
  • Limited public information on financial health or growth metrics
  • High competition from cloud providers' managed OLAP services

Key Information

Founded
2016

Frequently Asked Questions

What is Deep BI?

Deep BI is a Poland-based analytics firm specializing in real-time data processing and OLAP platforms. Founded in 2016, they provide support and optimization for open-source technologies like Apache Druid, serving enterprises globally with 300+ production clusters deployed across healthcare, telecom, and financial sectors.

How does Deep BI optimize Apache Druid?

Deep BI tunes Apache Druid deployments for 50% faster performance at lower costs compared to untuned systems. Their engineers specialize in cluster configuration, query optimization, and hardware resource allocation, particularly for high-velocity data scenarios in observability and AI feature pipelines.

Which industries use Deep BI's solutions?

Their primary clients include telecom companies needing network observability, healthcare firms like Roche processing medical data, e-commerce platforms requiring real-time analytics, and financial services handling transaction streams. Each deployment is customized for specific latency and throughput requirements.

What are the benefits of Deep BI's open-source approach?

Using open-source stacks like Druid and StarRocks avoids vendor lock-in while maintaining enterprise-grade performance. Clients retain full data control and can modify code, with Deep BI providing expertise typically requiring in-house specialists for deployment scaling and troubleshooting.

How does Deep BI compare to cloud OLAP services?

Deep BI focuses on optimizing self-managed deployments rather than offering hosted solutions. This appeals to enterprises with existing infrastructure or data sovereignty requirements, though it demands more technical oversight than turnkey cloud offerings from AWS or Google.

What should enterprises consider before choosing Deep BI?

Evaluate their reliance on Apache Druid's roadmap versus proprietary alternatives. While cost-effective for large-scale deployments, their model requires commitment to open-source maintenance. Proven with clients like Atos, but less suited for organizations preferring fully managed services.

Sources

  1. www.deep.bi — Company services and client claims
  2. www.deep.bi — Technical philosophy on Deep Data vs Big Data
  3. www.prnewswire.com — Industry context for analytics trends
  4. techcrunch.com — Broader tech industry conditions