DragonflyDB

Company Overview

Snapshot

Founded in January 2022 by Oded Poncz and Roman Gershman, DragonflyDB operates with 11–50 employees. The company has raised $21M across two funding rounds from three investors. In March 2023, DragonflyDB secured an A Round, with Quiet Capital participating as a lead investor.

Business overview

DragonflyDB specializes in providing a high-performance distributed SQL database designed for large-scale data processing and analytics. Its core product, DragonflyDB, utilizes a distributed architecture to ensure low latency, high availability, and scalability across multiple nodes. The platform supports standard SQL queries and offers advanced features like automatic data partitioning and replication. DragonflyDB is particularly suited for real-time analytics, time-series data, and applications demanding high throughput and low latency, empowering organizations to make data-driven decisions within the Business Software sector.

Strategic signal

In March 2023, DragonflyDB completed an A Round, raising $21M. This funding, with Quiet Capital as a lead investor, signals strong investor confidence in the company's high-performance in-memory database technology and its potential to address the growing demand for efficient large-scale data processing solutions.

Company Intelligence Q&A

When was DragonflyDB founded?

DragonflyDB was founded in January 2022 by Oded Poncz and Roman Gershman.

What is DragonflyDB's primary product?

DragonflyDB's primary product is a high-performance distributed SQL database, also named DragonflyDB, designed for large-scale data processing and analytics.

How much capital has DragonflyDB raised to date?

DragonflyDB has raised a total of $21M across two funding rounds.

Which investors participated in DragonflyDB's A Round?

In March 2023, DragonflyDB secured an A Round, with Quiet Capital participating as a lead investor.

What kind of architecture does DragonflyDB utilize?

DragonflyDB utilizes a distributed architecture, allowing data to be distributed across multiple nodes for improved scalability and fault tolerance, ensuring low latency and high availability.