QuestDB Analysis: $2M Raised

• $100 per user per month, billed annually (G2).
• Pricing is based on actual usage, with charges varying according to consumption (AWS Marketplace).
• QuestDB offers an open-source version that is free to use, with no licensing fees.

QuestDB primarily focuses on the time-series database market, specifically providing solutions for high-performance data ingestion and querying for time-series data.

Revenue model includes a fully-hosted managed service on the cloud and enterprise solutions.

• Y Combinator
• Episode 1 Ventures
• 20 other investors (specific names not detailed in the sources)

QuestDB's main competitors in the time-series database market include:

1. InfluxDB:

   • Strengths: Highly regarded for its performance and ease of use, InfluxDB is the market leader in the time-series database space. It supports schemaless ingestion and has a large community.
   • Weaknesses: It struggles with high-cardinality datasets and requires users to learn a new query language, Flux. It is primarily designed for infrastructure and application monitoring.

2. TimescaleDB:

   • Strengths: This is a PostgreSQL extension optimized for time-series data, offering compatibility with SQL features and improved performance over standard PostgreSQL for time-series use cases. It has features like hypertables and continuous aggregation.
   • Weaknesses: Built on a row-based architecture, it may not be as optimized for time-series workloads compared to columnar databases. It also lacks a flexible streaming ingestion protocol.

3. Amazon Timestream:

   • Strengths: A fully managed service that is scalable and cost-effective for IoT and operational applications. It is recognized for better usability and meeting requirements compared to QuestDB.
   • Weaknesses: Being a managed service, it may not offer the same level of control and customization as self-hosted solutions like QuestDB.

4. Prometheus:

   • Strengths: Known for its service monitoring capabilities, it excels in meeting user requirements and is an open-source system.
   • Weaknesses: It may not be as versatile for general time-series data processing compared to QuestDB.

5. Druid:

   • Strengths: Designed for interactive analytics at scale, Druid offers robust performance for real-time data.
   • Weaknesses: It may not be as user-friendly or as widely adopted as QuestDB.

Overall, QuestDB excels in ingestion speed, being able to ingest data 3-10 times faster than InfluxDB and achieving a maximum ingestion throughput that is significantly higher than TimescaleDB. It supports both InfluxDB line protocol and PostgreSQL wire for data ingestion, making it flexible and user-friendly for those familiar with SQL.