
VividCortex
Database performance management.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
N/A | Acquisition | ||
Total Funding | 000k |






USD | 2017 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Company filings or news article
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VividCortex was a database performance monitoring company founded in 2012 by Baron Schwartz and Kyle Redinger in Charlottesville, Virginia. The venture was a natural progression for Schwartz, a recognized expert in MySQL, author of "High Performance MySQL," and creator of several open-source database tools used by major tech companies. His deep experience in database performance and scalability directly shaped the company's core offering. VividCortex secured $15.6M in funding across five rounds from investors including Osage Venture Partners, New Enterprise Associates, and Battery Ventures.
The company developed a Software-as-a-Service (SaaS) platform designed to provide deep, real-time visibility into database performance. It catered to DevOps professionals, database administrators, and engineering teams at companies with complex, high-traffic database systems. Clients included prominent names like GitHub, Etsy, Shopify, and Yelp. The business model was subscription-based, providing access to its powerful monitoring tools. The platform allowed clients to analyze every query and system behavior with high-resolution, second-by-second metrics to proactively identify bottlenecks and optimize performance, thereby improving application speed and reducing downtime.
VividCortex's key value proposition was its specialized focus on open-source and cloud-native databases, such as MySQL, PostgreSQL, Redis, MongoDB, and Amazon Aurora. Its platform offered features like advanced query analysis, which ranked database queries by their performance impact, customizable alerts, and detailed historical data analysis. The service operated via a lightweight agent installed on client servers that captured query data with minimal performance impact, transmitting it to the SaaS platform for analysis. This focus on open-source databases differentiated it from other tools that concentrated on traditional, on-premise databases. In December 2019, SolarWinds acquired VividCortex for approximately $117.5 million, integrating its cloud-native database monitoring capabilities into SolarWinds' broader IT operations management portfolio.
Keywords: database performance monitoring, SaaS, MySQL, PostgreSQL, MongoDB, Redis, Amazon Aurora, query analysis, DevOps, database administration, cloud-native database, performance optimization, real-time monitoring, application performance management, Baron Schwartz, SolarWinds, IT infrastructure management, database observability, query optimization, workload analysis