Latest write-ups

Same card, same pricing check, same rules for every tool. Newest first.

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From $100/mo (published Stitch pricing)

Stitch

Managed ELT

Managed data loading into analytics destinations. Existing Stitch pipelines remain relevant, while new buyers are directed toward Qlik Talend Cloud.

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Weights & Biases

Experiment tracking

The polish leader in experiment tracking: dashboards, Sweeps, reports, and Weave for LLM observability; Pro is $60/month flat for up to 10 seats.

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MLflow

Experiment tracking

Open-source standard for experiment tracking, model registry, and serving; 3.x adds OpenTelemetry tracing, LLM judges, and a Prompt Registry.

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LangSmith

Observability

LangChain's observability and evaluation platform: zero-config LangGraph tracing, CI-gated evals, prompt hub; closed-source SaaS.

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Langfuse

Observability

Open-source LLM engineering platform: OpenTelemetry-native tracing, LLM-as-judge evals, prompt management; MIT core with free self-hosting.

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LangChain

RAG framework

The most-adopted LLM framework, rebuilt on LangGraph in 1.0: durable agent execution, 1,000+ integrations, MIT-licensed; LangSmith is the paid layer.

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Questions people actually ask

About the directory, and about the company that used to live at this address.

What is Panoply?

Panoply.io is an independent directory of data tools plus the guides and blog that made this domain worth linking to. One page per tool, written by us, with the vendor’s real price, the free tier spelled out and a score we can explain. From 2015 to 2026 the name belonged to a managed data warehouse; that product is gone, and the history is here.

What happened to the Panoply data warehouse?

It was discontinued in 2026 after SQream, which had bought it in 2021, went into insolvency. Nothing on this site is for sale. If you were a customer, the closest replacement is a managed connector tool like Fivetran or Airbyte feeding Snowflake or BigQuery. We wrote up what replaced it, plan by plan.

Which cloud data warehouse should I pick?

For most teams it comes down to Snowflake or BigQuery, with Databricks if machine learning is the point and Redshift if you live inside AWS. The honest version, with the pricing meters explained, is in Data Warehouses in 2026 and the pricing playbook. The full Data Warehouse Guide is the long read.

ETL or ELT, and which tools do it?

Load first, transform in the warehouse: that’s ELT, and it won. Fivetran or Airbyte move the data, dbt shapes it, Airflow or Dagster run the schedule. The ETL tools chapter has the shortlist and the glossary has the plain-English version.

Which BI tool is worth it?

Metabase if you want dashboards this week and a bill you can read, Looker if governance matters more than speed, and the archive’s top 25 BI tools piece if you want the whole field. Before any of them, Dashboard 101 is the 10 minutes that saves the most money.

Are the prices real?

Every number comes from the vendor’s own pricing page and the card shows the date we checked it. Vendors change plans without telling anyone (Snowflake quietly introduced a second credit rate in 2025), so treat the card as the starting point and confirm on the day you sign.

I make one of these tools. Can I get on the list?

Yes, and it costs nothing. You can’t write your page, but you can correct pricing, integrations and deployment facts, add a logo and a demo link, and we’ll verify and update. Sponsored placements exist too, sit beside the list, and always say so. How it works.

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From the guides and the archive

Ten years of articles on warehouses, ETL and SQL, kept at their original addresses, plus the Data Warehouse Guide that 1,700 sites still link to.