Total amount raised
$17.4 Million
Latest funding date
02/01/2022
Location
PopSQL has successfully raised funding over three rounds, with the latest being a Series A led by Tiger Global Management. The platform is a modern, collaborative SQL editor designed to enhance team collaboration on data projects.
Keep reading to explore the intricacies of PopSQL's fundraising journey and the investors backing this innovative platform.
What Is PopSQL?
PopSQL is a modern, collaborative SQL editor designed to help data teams work together more effectively. The platform centralizes SQL queries and offers real-time collaboration, making data exploration and insight delivery more efficient.
Based in San Francisco, California, PopSQL operates within the business intelligence, developer tools, and software industries. The company has an employee count ranging from 11 to 50 and is trusted by over 2000 top data teams globally.
PopSQL has been acquired by Tiger Data, the creators of TimescaleDB, and has raised funding through multiple rounds, including a Series A round. The platform supports a wide range of database providers and emphasizes enterprise-grade security and compliance.
How Much Funding Has PopSQL Raised?
- Series A
- Amount Raised: USD 14,000,000
- Date: February 2022
- Lead Investors: Tiger Global Management
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To accelerate PopSQL's mission to help modern data teams turn business insights into action more efficiently, quickly, and accurately. The funding will also support the company's growth and the development of new features to enhance SQL collaboration.
- Seed
- Amount Raised: USD 3,400,000
- Date: September 2020
- Lead Investors: Gradient
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: Establishing the company, developing the product, and achieving early growth milestones.
- Seed
- Date: August 2019
- Investor Count: 1
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: Establishing the company and initial product development.
Total Amount Raised: USD 17,400,000. Current Valuation: Not publicly disclosed.
Key Investors
- Tiger Global Management
- Details: Tiger Global Management is a global investment firm that focuses on private and public companies in the technology sector. They led PopSQL's Series A funding round.
- Investment Focus Areas: Technology, software, internet.
- Notable Investments: Facebook, LinkedIn, Spotify.
- Gradient Ventures
- Details: Gradient Ventures is Google's AI-focused venture fund that invests in early-stage startups. They were a major investor in PopSQL's seed funding round.
- Investment Focus Areas: Artificial intelligence, early-stage startups, technology.
- Notable Investments: Algorithmia, Labelbox.
- Y Combinator
- Details: Y Combinator is a startup accelerator that provides seed funding, advice, and connections to early-stage startups. They participated in PopSQL's funding rounds.
- Investment Focus Areas: Early-stage startups, various sectors.
- Notable Investments: Airbnb, Dropbox, Stripe.
- FundersClub
- Details: FundersClub is an online venture capital platform that connects accredited investors with pre-vetted startup opportunities. They were involved in PopSQL's funding rounds.
- Investment Focus Areas: Early-stage startups, technology.
- Notable Investments: Instacart, Coinbase, Slack.
What's Next for PopSQL?
PopSQL is poised to capitalize on the growing need for real-time collaboration tools in data teams. With over 2,000 companies already using the platform, the potential for expansion is significant. The company plans to introduce new features like a data catalog and SQL notebooks, which could further enhance its value proposition.
Future fundraising opportunities seem promising, especially given the successful Series A round. As PopSQL continues to grow, additional funding rounds may be on the horizon to support further product development and market expansion. However, the company will need to navigate challenges such as competing with other SQL editors and ensuring seamless integration with various data solutions.
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