
Intermix.io
Performance Analytics for Data Infrastructure.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
N/A | Seed | ||
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | (50 %) | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
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Intermix.io, established in 2016 by co-founders Lars Kamp and Paul Lappas, developed a performance analytics platform tailored for data engineering teams. The San Francisco-based company was created to provide observability into data warehouse performance, initially focusing on Amazon Redshift, which was the market leader at the time. Kamp's background includes extensive experience in management consulting at Accenture and business development, while Lappas brought expertise in building technology products and scaling engineering organizations. Their combined experience informed the creation of a tool designed to help businesses understand and optimize their data infrastructure.
The company's core business revolves around a Software-as-a-Service (SaaS) platform that gives data teams end-to-end visibility into their data stack. It serves small, mid-size, and enterprise-level businesses, helping them to monitor, analyze, and improve the performance of their cloud data warehouses. The platform addresses critical issues such as slow queries, high operational costs, and inefficient resource allocation by providing detailed analytics on query performance, memory and storage usage, and workload management. This allows clients to identify performance bottlenecks, understand data usage patterns, and ultimately reduce their cloud spending.
Intermix.io's product functions by collecting metadata from a client's data warehouse and connected tools, requiring no direct access to the underlying sensitive data. Its dashboard provides insights into how data is being used, which users are running which queries, and how different business intelligence tools are impacting performance. The platform integrates with a variety of data warehouses and tools, including Amazon Redshift, Snowflake, Google BigQuery, and Looker. Key features include the ability to analyze disk use by node, database, and table, predict storage needs based on growth rates, and increase query speeds. In April 2020, Intermix.io was acquired by Xplenty (now Integrate.io), a data integration firm, in a deal financed by private equity firm Xenon Partners.
Keywords: data warehouse observability, performance analytics, Amazon Redshift optimization, data engineering, cloud cost management, query performance, data stack monitoring, Lars Kamp, Paul Lappas, Integrate.io, Xplenty, data infrastructure analytics, SaaS, resource utilization, throughput analytics, storage analytics, memory analytics, data product analytics, cloud data warehouse, FinOps