
SuperQuery
superQuery - Powerful SQL IDE designed for Google BigQuery..
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor | €0.0 | round | |
N/A | €0.0 | round | |
$5.0m Valuation: $5.0m | Acquisition | ||
Total Funding | 000k |





USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 25 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
SuperQuery appears to be a defunct startup, as its website is no longer active and its social media presence has been silent for several years. The company was founded in 2018 with the goal of optimizing Google BigQuery costs by providing a user-friendly interface for data teams. Its platform allowed data analysts, scientists, and engineers to run, save, share, and schedule queries more efficiently. Key features included cost-saving suggestions before running a query, an integrated development environment (IDE) with AI-powered code completion, and tools for collaboration and query scheduling. The business model was likely subscription-based, offering different tiers of service, including a free tier for individual users and paid plans for teams and enterprises.
The company's primary product was a web-based IDE designed to sit on top of Google BigQuery. It aimed to address the challenge of unpredictable and often high costs associated with running queries on large datasets in BigQuery. By providing cost estimations and optimization tips, SuperQuery sought to give data teams better control over their budgets. The platform also facilitated collaboration by allowing users to share queries and datasets easily. SuperQuery was acquired by another company, at which point its original service was discontinued.
Keywords: BigQuery, data analytics, cost optimization, cloud data, SQL IDE, data engineering, data collaboration, query optimization, data tools, data management