Life & fun · alternatives · 2026
24 alternatives to Structure.rest
Better Data, Faster
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Structure.rest launched in 2020; newer entries below may have overtaken it.
- 1TF
Hi All! We've spent a few months on getting an MVP together, and would love to get some feedback on whether this tool meets you needs. Here is a link to a demo video: https://www.youtube.com/watch?v=FBLi3vdKB-4&feature=emb_rel_pause Here's a link to our website: https://www.structure.rest And here's a blog article, I published today in the space: https://www.structure.rest/blog/using-a-data-analytics-stack-to-gain-business-insights
2020 · its alternatives →
- 2
- 3SA
2017 · freerobotcollective.com · its alternatives →
- 4PN
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org · its alternatives →
- 5
Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
- 6
Struct▲329Hi HN! I’m Jason, a product designer at Struct Chat. At Struct, we're frustrated by the clutter, distractions, and inefficiencies plaguing existing chat platforms like Slack and Discord. We've built a radical new chat platform that leverages threads, feeds, and AI to help alleviate these problems, and give you back more time in your day. Struct uses a thread-first approach to keep conversations on-topic. It applies AI-generated titles and summaries to help you decide what's worth your attention. Threads are then organized in a real-time feed, keeping all your conversations up-to-date and at…
Mar 2026 · struct.ai · its alternatives →
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Recipe: Add a semantic layer to SQL; use it drop the requirement for joins/group_by; add in type-checking and a lightweight python-esque import syntax to enable reuse and hierarchical querying. Trilogy is intended to provide an accessible but deep alternative to raw SQL. It offers a new-but-inspired-by-SQL syntax that compiles to various dialects of SQL (with DuckDB as the default). The target audience is people that really like SQL for analytics and data engineering, but want less boilerplate and sharp edges and looser coupling to the DB. Semantic models can be easily shared, composed…
2024 · trilogydata.dev · its alternatives →
- 9
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
- 10
Build the semantic layer that makes AI analytics trustworthy
Mar 2026 · metabase.com · its alternatives →
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Mozart Data▲112The easiest way for teams to build a Modern Data Stack
2021 · mozartdata.com · its alternatives →
- 14
Mode Definitions▲109Reusable, SQL-based business logic you can COUNT() on
2016 · mode.com · its alternatives →
- 15SA
Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…
Jan 2026 · playground.shaped.ai · its alternatives →
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Shelf▲135A better way for teams to manage & share files, links & more
2017 · shelf.io · its alternatives →
- 18
Sections▲133A high-performance serverless engine to accelerate any API
2023 · sections.geeks.solutions · its alternatives →
- 19
Zetta▲141I'd love feedback for our new business intelligence product Zetta (https://zettadata.ai). It's a lightweight, metrics-first approach to analytics that makes it easy to have properly governed dashboards from the jump. We do require registration, but we have a free tier (and I'm happy to give out coupons for the paid tier). To get started: - Connect a database or data warehouse (we support BigQuery, Snowflake, Redshift, Postgres, and MySQL) - Go to the metric builder and set up a data model and metrics. Data models are just references to tables or queries that create the base dataset…
2025 · zettadata.ai · its alternatives →
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The fastest way to build your data warehouse
2023 · weld.app · its alternatives →
- 23TD
2020 · terminusdb.com · its alternatives →
- 24
Define metrics once. Use them everywhere.
Jun 2026 · basedash.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 →