Company Research Report: QuestDB

Company Overview

• Name: QuestDB

• Mission of the Company: QuestDB aims to build the next generation open-source time-series database with a focus on high performance and usability.

• Founded: No specific founding date is provided.

• Key People:

• Nicolas Hourcard, mentioned as an author of multiple blog entries including discussions on funding and engineering.

• Other contributors such as Andrey Pechkurov and Javier Ramirez appear frequently in technical content.

• Headquarters: QuestDB is a remote-first company with a regional office in London.

• Number of Employees: No information is available.

• Revenue: No information is available.

• What is the Company Known For: QuestDB is recognized for its high-performance open-source time-series database that offers massive ingestion throughput, millisecond queries, and powerful SQL extensions.

Products

• Main Product: QuestDB (Time-series Database)

• High-Level Description: QuestDB is an open-source time-series database known for its superior performance, designed to handle high-throughput data ingestion and rapid SQL queries. It supports open formats and integrates with various tools.

• Key Features:

• Performance:

• Columnar storage with SIMD-optimized queries.

• Ingests up to 4 million rows per second per node.

• Partitioned by time for efficient queries.

• Developer Experience:

• Open-source under Apache 2.0.

• Supports SQL and time-series joins, along with open formats like Parquet and Arrow.

• Provides InfluxDB Line Protocol API, REST, and Postgres APIs.

• Integrated with Grafana via a native plugin.

• Enterprise Ready:

• Hot and cold read replicas.

• Decoupled storage/compute capabilities.

• Role-based access control and multi-zone availability.

• Premium support SLA.

Recent Developments

• Recent Developments and News:

• QuestDB secured a $12 million Series A funding round, indicating growing interest and investment in time-series databases.

• Release updates such as version 8.1.2 include enhancements like "Tabs & Balance", a new vector-based storage model, and other performance improvements.

• QuestDB participates in community events such as Hacktoberfest, enhancing its open-source community involvement.

• New Products or Features:

• QuestDB has introduced enhancements to its time-series SQL such as “SAMPLE BY” improvements.

• The platform now offers integration capabilities with various tools like Redpanda and Apache Superset.

• Recent version updates highlight new functions, better performance in deduplication, and improved Parquet and json support.

• Partnerships:

• There is no mention of specific new partnerships in the latest data; however, QuestDB maintains active integration with major platforms like Grafana and Redpanda, and works with industry leaders utilizing creative time-series solutions.

This report provides an overview of QuestDB's offerings, its technical prowess, and market positioning, leveraging the information available from product documentation and recent company activities.