Brand Intelligence Graph
Company Overview
About QuestDB
QuestDB is a London, United Kingdom-based open-source time-series database — backed by Y Combinator (W20) with $14.4-18 million in total funding including a $12 million Series A in November 2021 from Intel Ignite, Approx.vc, New Forge, and 468 Capital — providing financial services companies, IoT operators, and data infrastructure teams with the fastest time-series database globally (as measured by DB-Engines growth ranking), achieving 15,000+ GitHub stars through column-oriented storage, parallelized vector execution, SIMD CPU instructions, and low-latency SQL queries that enable blazingly fast ingestion and analysis of time-stamped data. Founded in 2019, QuestDB serves Tier 1/2 investment banks, leading hedge funds, national stock exchanges, and major crypto firms where microsecond-level query performance on time-series data is operationally critical.
Business Model & Competitive Advantage
QuestDB's high-performance time-series database addresses the throughput and latency limitations of general-purpose databases for time-stamped workloads: financial trading systems generating millions of tick data points per second, IoT sensor networks collecting readings from thousands of devices, and application metrics platforms ingesting thousands of events per second face a fundamental mismatch with row-oriented databases (PostgreSQL, MySQL) — inserting time-series data at high velocity in a row-oriented store creates write amplification, index contention, and query performance degradation that degrades trading system latency or IoT analytics responsiveness. QuestDB's columnar append-only architecture (optimized for high-rate time-series ingestion by appending new data without touching existing rows, with vector SIMD operations that process thousands of data points per CPU cycle during queries) achieves the ingestion throughput and query performance that financial and IoT time-series workloads require.
Competitive Landscape 2025–2026
In 2025, QuestDB competes in the time-series database, financial data infrastructure, and IoT analytics market with InfluxDB (dominant open-source time-series DB, $350M raised), TimescaleDB (PostgreSQL-based time-series, $55M raised), and ClickHouse (columnar OLAP database, $250M raised at $2B valuation) for financial firm, IoT operator, and data engineering team time-series database and high-frequency data infrastructure adoption. Intel Ignite's and 468 Capital's investments reflect both semiconductor-aligned performance computing conviction and European deep tech VC interest. Y Combinator W20 backing connects QuestDB with the database infrastructure investment community. The DB-Engines fastest-growing time-series database ranking validates developer and enterprise adoption velocity. The 2025 strategy focuses on the financial trading infrastructure market (market data ingestion, backtesting data stores, and real-time analytics), building the cloud-managed QuestDB Cloud offering, and expanding the Kafka and InfluxDB Line Protocol integration for hybrid data pipeline deployments.
Recent Activity
View all →A deep dive into the known-bits abstraction that recently landed in HotSpot's C2 JIT compiler: the same tristate-bit abstraction LLVM and GCC use, and why it lets the JVM delete redundant masks and shifts.
We tweak one fair-but-different thing in each ClickBench scenario and watch the hot-run rankings reshuffle, a reminder to read benchmarks closely.
QuestDB Enterprise 3.3.1 brings the new storage policy engine for tiering data to Parquet, posting indexes, a custom root CA for replication object stores, and column-level GRANT/REVOKE with EXCLUDE, on top of the QuestDB 9.4.2 engine.
QuestDB 9.4.2 adds shareable Web Console queries, the array_agg and regr_r2 aggregates, and hardens Parquet and posting-index paths under heavy ingestion.
Foreign Filing filed 2026-06-05
How capital markets firms pair Aeron and QuestDB for exactly-once semantics, deterministic replay, and regulatory-grade history on open formats.
One Trading runs a regulated 24/7 futures exchange on QuestDB: 1.8M orders/sec, 5M+ rows/sec ingestion, real-time surveillance, room to scale.
Foreign Filing filed 2026-05-28
QuestDB 9.4.0 adds a posting index for SYMBOL columns with optional covering data, cross-column FILL(PREV) for SAMPLE BY, and Web Console autocompletion.
WINDOW JOIN aggregates one table over a time window around each row of another, made parallel and vectorized, then benchmarked vs Timescale, DuckDB, ClickHouse.
QuestDB's bar(), sparkline(), ohlc_bar(), and depth_chart() functions render candlesticks and order book depth right inside SQL results, no notebook needed.
Foreign Filing filed 2026-04-24
Key Differentiators
Strong Challenger
QuestDB is an established challenger with significant market presence and competitive offerings in Developer Tools.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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