Alternatives
Products that do what QueryFuser does
Cut BigQuery costs by merging dashboard queries
- 1UC
Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…
Dec 2025 · exopriors.com
- 2PS
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…
Feb 2026 · github.com
- 3PT
PgQueuer is a minimalist, high-performance job queue library for Python, leveraging the robustness of PostgreSQL. Designed for simplicity and efficiency, PgQueuer uses PostgreSQL's LISTEN/NOTIFY to manage job queues effortlessly.
2024 · github.com
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- 9BP
Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
2024 · github.com
- 10PQ
This is like 4 years old, but I’m braver now and ready to share stuff with this community. I’ve been a lurker for a while. I made this tool - it’s kind of like “explain” but it tells you about what locks would be required by the query. I was making it as part of a larger tool that would try to prevent deadlocks during migrations at my last company, I never finished it.
2023 · github.com
- 11OA
Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out…
2021
- 12ST
sql-tap is a transparent proxy that captures SQL queries by parsing the PostgreSQL/MySQL wire protocol and displays them in a terminal UI. You can run EXPLAIN on any captured query. No application code changes needed — just change the port.
Feb 2026 · github.com
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hey hn, supabase ceo here this is a postgres connection pooler. it’s similar to pgbouncer, but built with Elixir and specifically designed for multi-tenancy. it’s still under development, but it’s at a stage where we can gather a feedback from the community and you can try it yourself. we aren’t using this in production yet, but aiming to deploy it for a subset of databases in the next 2 months. We have the following benchmarks (details in the readme): - Elixir Cluster maintaining 400 connections to a single Postgres database - 1_000_000 clients connecting to the Elixir cluster - Sending…
2023 · github.com
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Hi! I've been working on Biq Blue, a tool engineered to analyze your Google BigQuery tables, storage, and requests with the goal of drastically reducing your costs. Currently in early free beta, Biq Blue has already demonstrated its effectiveness on some big data sets. Essentially, it's a server that connects to your BigQuery database via the gcloud CLI, conducts analyses, and opens an HTTP port to serve both results and recommendations over web pages. Your data stays local, ensuring it never leaves your enterprise (I may only collects anonymous usage statistics and the email tied to your…
2023 · biq.blue
- 17HA
Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…
2024 · hashquery.dev
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- 20SPSQL Polyglot▲53
Try running a query anywhere from PostgreSQL to DuckDB without leaving your browser.
2023 · codapi.org
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- 22VP
# TL;DR We built VeilStream, a drop-in, read-only PostgreSQL proxy that strips, masks, or anonymizes sensitive values as queries stream through. In less than two minutes, you can put a proxy in front of a PostgreSQL database, whether hosted on your laptop, Neon, Supabase, or a cloud provider, and the user is able to start configuring filter rules. The use cases we're trying to solve are: - Production-like data in development environments - Improve incident handling by masking all data that is not relevant - Share a subset of your data - Protecting data being shipped into a data lake - Safe…
2025 · app.veilstream.com
- 23DA
Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases) DeepSQL started as an internal tool to stop our own databases from becoming the bottleneck they were becoming (13,000+ hotels in production). It worked well enough that we're releasing it. DeepSQL is an AI agent that operates a database the way a senior DBA and Data Engineer would 1. Fixes slow queries (we cutdown DB spend by 4x) 2. Fixes DB bloat (blocks unnecessary schema changes, in vibecoded setup) 2. BI dashboards(we removed spend on tableau, retool and appsmith) 3.…
Jul 2026 · deepsql.ai
- 24CL
2020 · github.com
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