Dev tools · alternatives · 2026
24 alternatives to Structured, GitHub App for Automated DBT PR Reviews
Scaling data teams today means dealing with the complexity of the modern data stack. While DBT has become a core tool for transforming raw data into structured, analytics-ready tables, most teams are using it in ways that lead to chaos: duplicated models, inconsistent metrics, and inefficient SQL that directly impacts cloud spend. The real issue isn’t with DBT itself—it’s in how it’s applied across teams. Here’s the typical setup: Finance defines a revenue model, Marketing calculates customer lifetime value, and Product defines churn. All in DBT, but all with slightly different logic,…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Structured, GitHub App for Automated DBT PR Reviews launched in 2024; newer entries below may have overtaken it.
- 1PN
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 →
- 2
Automated Insights from your Google Analytics
2021 · cube.dev · its alternatives →
- 3
Middleware▲257Open-source DORA metrics for software engineering teams
2024 · github.com · its alternatives →
- 4
- 5
ThriveStack v0.1▲365Self service infrastructure for the product-led era
2024 · thrivestack.ai · its alternatives →
- 6
- 7
Hey everyone! Like many data analysts and engineers, I love SQL and the dbt ecosystem. So it bothers me that we have to use separate tools for product analytics. We do our transformations, BI work, and ad-hoc queries in SQL, but when it's time to look at funnels and flows, we have to use (and procure) a separate platform like Mixpanel or Amplitude. This dbt package is a (very rough) start at fixing that. With it, you can create event streams and run funnel analyses via dbt[0]. More features like flows and retention are coming soon! But I'm mostly curious how you all are doing product…
2022 · github.com · its alternatives →
- 8
Bitscale▲96For last few months, we made pivots from Text-to-SQL to Legal AI to AI employees to finally this - We have finally been working on an interesting product with a few customers. Introducing BitScale - A new UI for AI built for growth teams. BitScale helps sales and marketing teams- 1) Reach out to 1000s of prospects with hyper personalised messages using tools like LinkedIn Research, Web research and of course ChatGPT 2) Find leads from communities, google maps and 10+ data sources, find their emails and phone numbers 3) Write 1000s of SEO optimised and Google researched blogs which are…
Mar 2026 · bitscale.ai · its alternatives →
- 9WW
Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era
2020 · holistics.io · its alternatives →
- 10
One platform for all things about the modern data stack
2021 · moderndatastack.xyz · its alternatives →
- 11
Build the semantic layer that makes AI analytics trustworthy
Mar 2026 · metabase.com · its alternatives →
- 12
Hey HN - this is Alexander from Hatchet. We’re building an open-source platform for managing background tasks, using Postgres as the underlying database. Just over a year ago, we launched Hatchet as a distributed task queue built on top of Postgres with a 100% MIT license (https://news.ycombinator.com/item?id=39643136). The feedback and response we got from the HN community was overwhelming. In the first month after launching, we processed about 20k tasks on the platform — today, we’re processing over 20k tasks per minute (>1 billion per month). Scaling up this quickly was…
2025 · github.com · its alternatives →
- 13
Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground
2023 · automorphic.ai · its alternatives →
- 14
Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.com · its alternatives →
- 15
A look at modern database approaches and how Citus scales PG
2016 · softwareengineeringdaily.com · its alternatives →
- 16
How product teams use data to drive product-led growth
2020 · ae3888.host · its alternatives →
- 17
open-source agentic AI data assistant for the next generation of AI + Data products. - eosphoros-ai/DB-GPT
2023 · github.com · its alternatives →
- 18
ScatterSpoke▲104Data driven retrospectives to build happier teams
2021 · scatterspoke.com · its alternatives →
- 19
A couple of years ago, we had an interesting idea. When a development team within an organization consists of around 10 members or fewer, controlling the risks associated with database changes might be achieved through trust and real-time communication. However, as the team grows, the responsibilities within the team become more specialized. Imagine a scenario where different branches of the business exist, each with its own set of developers, team leads, testers, testing leads, DBAs, and more. Relying solely on traditional communication methods becomes increasingly challenging when it comes…
2023 · github.com · its alternatives →
- 20
Hey HN! We're Charles and Dean, and we're building Stage: a code review tool that guides you through reading a PR step by step, instead of piecing together a giant diff. Here's a demo video: https://www.tella.tv/video/stage-demo-1pph. You can play around with some example PRs here: https://stagereview.app/explore. Teams are moving faster than ever with AI these days, but more and more engineers are merging changes that they don't really understand. The bottleneck isn't writing code anymore, it's reviewing it. We're two engineers who got frustrated with…
Apr 2026 · stagereview.app · its alternatives →
- 21NB
Michael and Yury here – we're building a no-code analytics platform for growth teams that automatically generates actionable data insights. After working in the data space for many years, we realized there was still a huge gap in the marketing analytics market. Growth teams have so much marketing and advertising data, yet this siloed data is not actionable. The existing BI and search-driven analytics solutions are designed for data-savvy people. In our experience (previously built an NLP company called FriendlyData), non-technical people just don't know what questions to ask. So we decided…
2022 · narrative.bi · its alternatives →
- 22
- 23
Lean▲64Growth experimentation platform for marketing teams.
2023 · lean.typedream.app · its alternatives →
- 24
Mozart Data▲112The easiest way for teams to build a Modern Data Stack
2021 · mozartdata.com · its alternatives →
Also compare
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 →