QuestDB 9.0.1 is here. While 9.0 marked our biggest release this year, we saw immediate opportunities to enhance SYMBOL index performance. The improvements target workloads with high concurrency on symbol-heavy datasets. Full release notes: questdb.com/docs/releases #questdb

Continuing our series on leveraging QuestDB's N-dimensional arrays for market data. Today: extracting top 5 bid levels from BTC-USD order book data. Data ingested via cryptofeed → #QuestDB pipeline.

New blog: step-by-step order-book analytics in QuestDB. ✅ 2-D array schema ✅ SQL for spread, liquidity, imbalance ✅ flag market-risk signals Try the queries here 👉 questdb.com/blog/ndim-arra…  #questdb #timeseries #marketdata

New blog: ingest Level‑2 order book data from Cryptofeed into #QuestDB using 2D arrays. Store full bid/ask snapshots, compute spread, imbalance, liquidity & more—in milliseconds with SQL. 🔗 questdb.com/blog/level-2-o… #crypto #trading #marketdata #questdb #sql

We’re excited to share a sneak peek into QuestDB’s upcoming native Parquet support. The screenshot below shows DuckDB seamlessly reading Parquet files written by QuestDB: ✅ Open standards ✅ No vendor lock-in ✅ Fluid interoperability between systems #QuestDB #DuckDB

The #QuestDB roadmap is public: github.com/orgs/questdb/p… Let us know which features you're most excited about!

QuestDB ➜ Polars in one call. ConnectorX streams millions of rows over the Pg wire at RAM speed: zero-copy buffers, partitioned reads, native Polars backend. No pandas detour, all cores busy. #questdb #polars #connectorx #rust

New in #questdb Kafka connector v0.16: initial array support. You can now ingest Kafka records with arrays/lists. QuestDB arrays = NumPy-like, enabling vectorization & fast slicing. 🔗 Release: github.com/questdb/kafka-… 📖 Arrays: questdb.com/docs/concept/a…

Deploy #questdb in your own cloud (AWS or Azure) — keep your data where it belongs. ✔️ Full data sovereignty ✔️ Use your cloud credits ✔️ We handle deployment + ops ✔️ You stay in control Blazing-fast time series performance, now within your infra. #Azure #AWS

⚡ New: Real-time FX Order‑Book Dashboard with #questdb + Grafana Live L2 data → SQL → instant visuals: spreads, volumes, book depth. No ETL, just pure SQL on streaming market data. ▶️ Try the demo: questdb.com/dashboards/fx-…

If you haven’t tried Arrays in #QuestDB yet, this video is a great intro to our new data type. We explain why we added arrays, when to use them, and how to run common market-related queries. 🎥 youtube.com/watch?v=oIHTjT…

🏖️ Whether you’re tracking trades or ice-cream sales, your data doesn’t take a vacation. Good thing QuestDB doesn’t either. #timeseries #database

In mid-August, the only thing hotter than the weather should be your query performance. Keep it sub-second with QuestDB. #timeseries #database

New site, clearer message: open formats (Parquet/SQL) & open source—no lock-in; object-storage-native, tiered architecture to PB scale; first-principles low-latency time-series engine; LLM-ready: SQL + REST = one-prompt insights. questdb.com #questdb

Testing our new Parquet read support: •QuestDB: ~200 ms from cold Parquet •(For context, DuckDB: ~300 ms) No caching. No tricks. Just direct reads from partitioned Parquet files. Part of our tiered storage: hot local data + cheap historical on object storage. #questdb

QuestDB ≈ Postgres to your tools. PGwire today Arrow next for zero-copy handoff to dataframes/ML. If your stack speaks Postgres—or Arrow soon—it speaks QuestDB. #questdb #postgresql #apachearrow #kafka #spark #grafana #polars

QuestDB 9.0.2 ships: performance + stability. • Parallel ORDER BY…LIMIT (up to 10×) • Separate read/write/network pools → steadier latency • Arrays: stddev/min/max, negative indexing, better Parquet • Faster CSV (VARCHAR), less MV I/O #questdb

Coming soon to #questdb: nanosecond precision timestamps No more downsampling market data to microseconds. Ingest and query exchange feeds with exact fidelity—straight into QuestDB. Perfect for: • Tick data • Order books • HFT + backtesting 👀 PR: [screenshot]

We’ve refreshed our live FX order book dashboard 💹 Order books = array-shaped data. Most DBs struggle. QuestDB has native 2D arrays. ⚡ Ingest snapshots at market speed 🔎 Query full depth with SQL 📜 Efficient playback See it live: questdb.com/dashboards/fx-… #questdb #fx

16,000 GitHub stars for QuestDB ⭐️ Open source time-series database with blazingly fast ingestion and low-latency SQL queries. Multi-tier storage built on top of open formats to unlock AI/ML interoperability Thanks for contributing. What should we ship next? GitHub Projects Community