AI · alternatives · 2026
24 alternatives to Optimize Databricks SQL
I launched my startup's Snowflake optimization product here about two years ago, and we've just released our second product: a Databricks SQL optimizer. The optimizations are basically kubernetes for data warehousing: we take over autoscaling and cluster selection to increase utilization without impacting latency. The scheduler is backed by ML models that predict runtime and capacity, which means we can run machines hotter than the providers can and thereby cut costs. More info here: https://espresso.ai/post/launching-our-databricks-sql-optimi...
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Hello! For the past year I’ve been working on a fully-managed data warehouse built on Clickhouse. I built this because I was frustrated with how much work was required to run an OLAP database in prod: re-writing my app to do batch inserts, managing clusters and needing to look up special CREATE TABLE syntax every time I made a change. I found pricing for other warehouses confusing (what is a “credit” exactly?) and worried about getting capacity-planning wrong. I was previously building accounting software for firms with millions of transactions. I desperately needed to move from Postgres to…
2023 · github.com · its alternatives →
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Pylar▲502Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…
Dec 2025 · pylar.ai · its alternatives →
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Gradient▲85ML-Powered Databricks Cluster Optimization for All
2023 · capitalonesoftware.com · its alternatives →
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Native Databricks support — Unity Catalog read-only grants, runs on the SQL warehouse you pick, OAuth M2M service principal auth for production, no pipeline to build.
May 2026 · decisionbox.io · its alternatives →
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I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com · its alternatives →
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I'm a former YC founder, and I've been working with some friends from Google to build Espresso AI, an ML-powered Snowflake optimizer. We use LLMs to analyze and predict your SQL workload and run your warehouses more efficiently. Our first few customers are seeing Snowflake savings from 30% to 70%. We're launching out of beta, and if your team uses Snowflake we'd like to help you cut down your bill. You can set up Espresso in under 15 minutes with the instructions here: https://espresso.ai/onboarding Before turning anything on we'll send you a savings estimate based on your…
2024 · its alternatives →
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I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…
2022 · benchmark.clickhouse.com · its alternatives →
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Seed-DB▲174A database of seed accelerators and their companies.
2014 · jedchristiansen.com · its alternatives →
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Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com · its alternatives →
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Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…
Jul 2026 · postgres.saneengineer.com · its alternatives →
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ChartBrick▲120Create charts using your databases from Notion or Airtable
2022 · chartbrick.com · its alternatives →
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The fastest way to build your data warehouse
2023 · weld.app · its alternatives →
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Easily move your data into cloud data warehouse, fast
2021 · snaplogic.com · its alternatives →
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Up to 1,000× faster database queries with just a few clicks
2023 · planetscale.com · its alternatives →
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tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…
2024 · github.com · its alternatives →
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DataSpeeder 2 is a simple little database browser for non-technical users that gives bosses, marketing, and support teams a simple way to search, view, and edit MySQL & Oracle records – no coding, no scripting, just point it at your database and it works.
2020 · dataspeeder.com · its alternatives →
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A look at modern database approaches and how Citus scales PG
2016 · softwareengineeringdaily.com · its alternatives →
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A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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A simple and language-independent SQL schema migration tool - elwinar/rambler
2016 · github.com · its alternatives →
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The fastest way to run databases in AWS or GCP
2025 · planetscale.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →