BoilingData Company Profile

Background

Overview

BoilingData is a Finnish technology company specializing in scalable, on-the-fly analytics for cold data stored in Amazon S3. Founded in 2021 and headquartered in Helsinki, Finland, the company offers serverless, transient data warehouses that enable interactive analytics without the need for pre-caching or cluster management.

Mission and Vision

BoilingData's mission is to simplify and accelerate data analytics by providing efficient, serverless solutions that allow businesses to perform real-time analytics on large datasets stored in S3. Their vision is to revolutionize data processing by eliminating the complexities associated with traditional data warehousing and enabling seamless, scalable analytics.

Primary Area of Focus

The company's primary focus is on delivering high-performance, serverless analytics solutions that allow users to run SQL queries directly on cold data stored in S3, facilitating rapid insights without the overhead of managing infrastructure.

Industry Significance

In the rapidly evolving field of big data analytics, BoilingData stands out by offering a unique approach that combines serverless computing with efficient data processing, addressing common challenges such as cost, scalability, and complexity in data analytics.

Key Strategic Focus

Core Objectives

Scalability: Provide solutions that can handle large-scale data analytics without compromising performance.

Cost Efficiency: Offer serverless analytics that reduce the need for expensive infrastructure and management overhead.

Simplicity: Simplify the analytics process by eliminating the need for pre-caching and complex cluster management.

Specific Areas of Specialization

Serverless Data Warehousing: Enabling on-demand, scalable analytics without the need for dedicated infrastructure.

Real-Time Analytics: Facilitating immediate insights from large datasets stored in S3.

Data Processing Optimization: Enhancing the efficiency of data processing pipelines to support dynamic, real-time analytics.

Key Technologies Utilized

AWS Lambda: Utilized for executing distributed queries in a serverless environment.

DuckDB: An embedded SQL database engine used for efficient data processing.

Parquet: A columnar storage file format optimized for analytical workloads.

Primary Markets or Conditions Targeted

BoilingData primarily targets businesses that require scalable, cost-effective, and efficient analytics solutions for large datasets stored in cloud environments, particularly those utilizing Amazon S3.

Financials and Funding

Funding History

As of the latest available information, BoilingData has not publicly disclosed details regarding its funding history, total funds raised, or specific investors.

Intended Utilization of Capital

While specific details are not publicly available, it is anticipated that any raised capital would be utilized to further develop BoilingData's technology platform, expand its market presence, and enhance customer support and services.

Pipeline Development

Key Pipeline Candidates

BoilingData's primary offering is its serverless analytics platform that enables real-time SQL queries on cold data stored in S3. The company continues to refine and expand this platform to meet the evolving needs of its customers.

Stages of Product Development

Product Development: Ongoing enhancement of the analytics platform to improve performance, scalability, and user experience.

Market Expansion: Efforts to broaden the customer base and enter new markets.

Target Conditions

The platform is designed to handle large-scale data analytics, particularly for businesses with substantial datasets stored in S3.

Relevant Timelines for Anticipated Milestones

Specific timelines for upcoming milestones have not been publicly disclosed.

Technological Platform and Innovation

Proprietary Technologies

Serverless Data Warehousing: BoilingData's unique approach allows for on-demand, scalable analytics without the need for dedicated infrastructure.

Distributed Query Processing: Utilizing AWS Lambda functions to execute distributed queries efficiently.

Significant Scientific Methods

Data Processing Optimization: Implementing strategies to enhance the efficiency of data processing pipelines, enabling real-time analytics.

Leadership Team

Key Executive Profiles

Dan Forsberg, Ph.D. – Founder and CEO

Dan Forsberg is the founder and CEO of BoilingData. With a background in data engineering and a passion for simplifying data analytics, he established the company to address the challenges associated with traditional data warehousing.

Competitor Profile

Market Insights and Dynamics

The market for serverless data analytics is growing, with businesses seeking cost-effective and scalable solutions for large-scale data processing. Companies like BoilingData are well-positioned to capitalize on this trend by offering innovative solutions that address common industry challenges.

Competitor Analysis

SolarWinds Database Observability: Offers database monitoring and performance analysis tools.

Azure Analysis Services: Provides cloud-based analytics services for data modeling and analysis.

Excel Chart Animation: A plugin for creating animated charts in Excel.

Azure Monitor: A platform for monitoring cloud resources and applications.

Formula Bot: An AI-powered tool for generating Excel formulas and analyses.

Strategic Collaborations and Partnerships

Specific details regarding BoilingData's strategic collaborations and partnerships have not been publicly disclosed.

Operational Insights

BoilingData differentiates itself by offering serverless, on-the-fly analytics that eliminate the need for pre-caching and cluster management, providing a more efficient and cost-effective solution compared to traditional data warehousing approaches.

Strategic Opportunities and Future Directions

BoilingData has the opportunity to expand its platform's capabilities, enter new markets, and form strategic partnerships to enhance its offerings and market presence.