@questdb.bsky.social
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AI help is now live in the
#questdb
docs. Ask questions, get instant, context-aware answers on SQL, ingestion, and performance. No fluffâjust clear support for your workflow.
#AI
#devtools
6 months ago
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LLMs + REST APIs = powerful combos. Hereâs Claude Code querying a ~1BN row crypto dataset from QuestDB using plain SQL over HTTP. No SDKs, just curl. Clean pattern for real-time insights with minimal setup. Screenshot below.
#QuestDB
#LLM
#SQL
#RESTAPI
#TimeSeries
6 months ago
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Weâve spent months making QuestDB 9.0 the fastest, most robust time-series DB weâve ever shipped. âď¸ N-dimensional arrays âď¸ Smarter materialized views âď¸ Ultra-low latency âď¸ Better UX Built with your feedback
questdb.com/blog/questdb...
#questdb
#githubrelease
#opensource
6 months ago
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Kicking off a new series on order book analytics in SQL with
#questdb
: bid-ask spread, liquidity thresholds, imbalance, quote stuffingâdirectly over L2 snapshots. Follow along for real SQL examples this week.
#timeseries
#trading
#orderbook
#FX
#SQL
6 months ago
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Real-time analytics is still too complexâtoo many tools, too much glue. Are we close to a true all-in-one solution?
#QuestDB
's Marko Topolnik explores how materialized views simplify things + compares QuestDB, ClickHouse, TimescaleDB & InfluxDB.
questdb.com/blog/realtim...
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Real-time analytics with an all-in-one system: Are we there yet? | QuestDB
Explore how modern databases are evolving into unified real-time analytics platforms. Compare TimescaleDB, ClickHouse, InfluxDB, and QuestDB's approaches to handling both historical and streamingâŚ
https://questdb.com/blog/realtime-analytics-using-tsdb/
7 months ago
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Middle of a dashboard refresh is a bad time for GC. QuestDB sidesteps it with: * Off-heap memory * Memory-mapped partitions * Native C++/Rust in the hot path What you need. Where you need it. When you need it.
questdb.com/docs/guides/...
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https://questdb.com/docs/concept/memory/
7 months ago
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We watched Interstellar. That movie is a trip! Slow dashboards make us feel like the wave planet. We like 'em live, like our fresh crypto dashboards. đ
questdb.com/dashboards/c...
7 months ago
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Somewhere in a database... a lonely little row from 2017 still holds out for hope. QuestDBâs TTL helps old data move on. Listen, row, don't think of it as deletion... More like closure. We just need some time for ourselves (and our more recent data).
questdb.com/docs/concept...
7 months ago
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This is your database when you donât use materialized views to pre-compute aggregates. Every dashboard refresh is like a hot iron to the foot. Save your DB('s feet)! Materialize your views.
questdb.com/blog/materia...
7 months ago
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Our real-time crypto dashboards received a fresh coat of paint. New dashboards featuring: * Candles * Coefficients * VWAPs * More Ooh-hoo, yep 'lotta neat stuff. And it's all fast and fluid. To the moon, and such! đ
questdb.com/dashboards/c...
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Live Crypto Price Charts & Market Data | QuestDB
See QuestDB queries in action on a live, real-time cryptocurrency analytics dashboard, powered by Grafana.
https://questdb.com/dashboards/crypto/
7 months ago
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MCP is shiny and new. Vector databases are shiny and new, too. What can a vector DB do that a high-performance DB + frontier model via MCP canât? Genuine inquiry! â Please share your use case.
8 months ago
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A common typo: WAL log (Write-Ahead Log log) Or is it?! Write-Ahead Logs (WAL) actually do log twice. First to the WAL. Then to the DB. The more you know! đ
8 months ago
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New in QuestDB docs: full breakdown of our architecture. Learn how we achieve high-performance on time-series data â from storage and ingestion to the query engine. Built from scratch in low-latency Java, C++ & Rust. đ Explore it here:
questdb.com/docs/guides/...
8 months ago
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Live crypto charts, tick-by-tick đ˘ OKX â QuestDB â Grafana (âą ms latency) ⢠Trade blotter & order-book depth ⢠OHLC / VWAP / RSI / Bollinger Bands ⢠BTC, ETH + 20 pairs Dive in:
questdb.com/dashboards/c...
8 months ago
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Tired of heavy SAMPLE BY queries slowing down dashboards in QuestDB? Use materialized views to precompute OHLC & other aggregates. They auto-refresh on ingest for blazing-fast reads! ⥠Learn how đ
questdb.com/blog/how-to-...
#SQL
#QuestDB
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How to create a materialized view | QuestDB
Learn what a materialized view is, its benefits and drawbacks, and how to quickly create materialized views in QuestDB to supercharge your aggregation queries with incremental refresh.
https://questdb.com/blog/how-to-create-a-materialized-view/
8 months ago
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Asking an LLM for an exact price point is like asking a poet for your bank balance. You might get a moving response⌠But it wonât be right. âETH price on March 8, 2022?â âTwas fair and volatile, sir.â Hmm... You'll need a database.
questdb.com/blog/why-ai-...
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Why AI needs a database | QuestDB
AI won't replace databases â but it will transform how we use them. This article explores why AI and databases work better together, breaking down LLM tokenization, real-time data access, andâŚ
https://questdb.com/blog/why-ai-needs-a-database/
8 months ago
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Sometimes we make cool things and forget to tell people. Ahem:
#QuestDB
has a fresh and funky release notes application. Want to know what's been happening over-time, for open source and Enterprise? Checkout
questdb.com/release-notes/
and explore.
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QuestDB Release Notes
Latest updates and improvements to QuestDB Open Source and Enterprise editions
https://questdb.com/release-notes/
8 months ago
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QuestDB now supports Oracle-style comments, so you can add helpful annotations⌠Or sneak messages to your coworkers. đ âď¸
8 months ago
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Structured data is very sneaky! Just ask your favourite LLM. 1GB of text = ~250M tokens 1GB of structured trades = ~1B tokens Thatâs 4Ă the token cost for less semantic richness. Our new agentic friends have many capabilities, chewing structured data not among them.
questdb.com/blog/why-ai-...
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Why AI needs a database | QuestDB
AI won't replace databases â but it will transform how we use them. This article explores why AI and databases work better together, breaking down LLM tokenization, real-time data access, andâŚ
https://questdb.com/blog/why-ai-needs-a-database/
8 months ago
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Hammer! Shooting Star! Bullish Engulfing! Piercing Line! While these sound like gnarly video game moves, they are in fact common patterns in OHLC candlestick charts. Learn more about them from our glossary:
questdb.com/glossary/ohc...
-- and checkout
#QuestDB
if your charts need a speed boost.
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The Great Guide to OHLC Candlesticks | QuestDB
Clear visual examples and a comprehensive guide to OHLC Candlesticks. Learn about its sources, storage, processing, and applications in high-frequency trading and market analysis. All you need inâŚ
https://questdb.com/glossary/ohcl-candlestick/
8 months ago
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Agents, they're suddenly everywhere. They sure seem to bring lot to the table. But there's a weakness. Structured data. Why? Read!
questdb.com/blog/why-ai-...
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Why AI needs a database | QuestDB
AI won't replace databases â but it will transform how we use them. This article explores why AI and databases work better together, breaking down LLM tokenization, real-time data access, andâŚ
https://questdb.com/blog/why-ai-needs-a-database/
8 months ago
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The power of community and openness âcustomers submitting Pull Requests to the
#QuestDB
Rust client:
github.com/questdb/c-qu...
.
8 months ago
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Pro-tip: it is now possible to change SYMBOL capacity via SQL:
questdb.com/docs/referen...
#questdb
#symbol
#cardinality
8 months ago
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Getting from zero to ingesting, querying, and exporting data to Parquet with QuestDB in under 3 minutes. Thatâs what we showed live at STAC in Londonâno magic, just fast, SQL-native performance.
#questdb
#opensource
#SQL
#Parquet
9 months ago
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With QuestDB powering real-time monitoring and historical analysis, their ultra-low latency architecture runs at sub-200Îźs round-trip ⥠More in the press release đ
www.onetrading.com/blog/one-tra...
#QuestDB
#OneTrading
#TradingTechnology
#TimeSeries
#Database
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One Trading - Where smart money does more - Blog - One Trading Partners with QuestDB to Power Low-Latency Market Data Infrastructure
The only place you can trade EU regulated crypto futures. Bring your trading ideas to life - buy and sell quickly and easily 24/7.
https://www.onetrading.com/blog/one-trading-partners-with-questdb-to-power-low-latency-market-data-infrastructure
9 months ago
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One of the use cases materialized views unlock is faster Klines âcandlestickâ charts. In our latest blog post we show an example of ingesting market data from
Polygon.io
, creating cascading materialized views, then using
Grafana.com
to display a real-time dashboard.
questdb.com/blog/kline-c...
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Building K-line (Candlestick) Charts with QuestDB and Grafana | QuestDB
In this tutorial, we will stream real-time crypto data from polygon.io and utilize QuestDBâs new materialized view functionality to create aggregated OHLC tables efficiently. We will then visualize th...
https://questdb.com/blog/kline-candlestick-charts-with-grafana-and-questdb/
9 months ago
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This is what happens when you put together QuestDB and
github.com/finos/perspe...
, a data visualization tool designed for large and streaming data. Look at this cool blotter updating every 50ms with market data coming from QuestDB.
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11 months ago
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And that, kids, is how PHP made it into our codebase. A user on PHP hit a QuestDB 8.2.2 issue. We gave an immediate workaround, then
@jerrinot.bsky.social
shipped a permanent fix 11 days laterâwith a new PHP test runner for coverage on par with Python or Rust. Community collaboration FTW!
11 months ago
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Our team was curious about the performance of the brand new InfluxDB 3 Core (OSS), so we went and tried out their Alpha. We wrote about our findings at
questdb.com/blog/influxd...
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We finally benchmarked InfluxDB 3 OSS Core (Alpha) | QuestDB
After many years of waiting, we benchmarked InfluxDB 3 OSS Core (Alpha). How does it fare? What are its strengths and weaknesses? We take an initial look, benchmark ingestion, and spot some caveats..
https://questdb.com/blog/influxdb3-core-alpha-benchmarks-and-caveats/
11 months ago
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Did you know you can orchestrate and schedule your QuestDB data workflows using Airflow with the PostgresOperator or Dagster with a resource using psycopg?
12 months ago
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What happens when one builds a trading Gameboy with an algo trading platform and uses
#QuestDB
to store market data? Follow the conversation on Hackernews' today đĽ
news.ycombinator.com/item?id=4210...
about 1 year ago
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đ Got 500 devices sending data every 5 seconds? That's over 3 billion rows per year! While that might be a challenge for conventional databases, with QuestDB you can still get sub-second query results and snappy real-time dashboards.
about 1 year ago
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One of our engineers just made a contribution to
#tokiors
github.com/tokio-rs/byt...
#rust
#opensource
#questdb
about 1 year ago
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