Discover your data stack

Data warehouse, ETL and BI tools, with the price you’ll actually pay

Snowflake or BigQuery? Fivetran or Airbyte? One card per tool: the real price, the free tier, what it replaces, and a score we can explain. Written by people who buy this stuff.

BI and analytics 12 tools Catalogs and governance 11 tools CDC tool 4 tools CDP 11 tools CI/diffing 1 tool Cloud warehouse 7 tools Cloud-native ETL 1 tool Data prep 3 tools dbt ecosystem 2 tools dbt-native 1 tool Dedicated 8 tools Document parsing 5 tools Document parsing and RAG frameworks 13 tools Embedded 1 tool Embedded/serverless 2 tools Enterprise BI 3 tools Enterprise catalog 3 tools Enterprise ETL 4 tools Evals 9 tools Event tracking 2 tools Experiment tracking 4 tools Extension 1 tool Feature store 2 tools Gateway 1 tool Ingestion and ELT 25 tools Inside BI 2 tools Lake query engine 4 tools Lakehouse platform 1 tool LLM observability and evals 25 tools Managed ELT 15 tools Managed orchestrator 2 tools Managed RAG 3 tools ML platform 7 tools MLOps and feature stores 20 tools Model serving 1 tool Modern catalog 4 tools Modern cloud BI 4 tools Monitoring 1 tool Observability 15 tools Observability 6 tools Observability and quality 10 tools OLAP engine 17 tools Open source 4 tools Open source 4 tools Open-source ELT 5 tools Open-source orchestrator 8 tools Orchestration 10 tools Pipeline framework 5 tools Processing engine 1 tool Quality framework 2 tools RAG framework 3 tools Real-time analytics databases 24 tools Real-time API 1 tool Reverse ETL 2 tools Reverse ETL and CDPs 15 tools Search engine 2 tools Search-analytics 2 tools Semantic layers 10 tools SQL framework 6 tools Standalone 8 tools Stream processing 6 tools Streaming and CDC 24 tools Streaming database 1 tool Streaming database 2 tools Streaming platform 12 tools Time-series 3 tools Transformation 17 tools Vector databases 11 tools Visual/managed 5 tools Warehouses and lakehouses 14 tools Web ingestion 2 tools
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As covered in

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Latest write-ups

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

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Feast

Feature store

Feast is a free Apache-2.0 feature store for Python feature definitions, point-in-time training data, and online serving on infrastructure you operate.

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Seldon

Model serving

Seldon Core 2 serves models on shared Kubernetes servers with memory overcommit, A/B experiments and Kafka-backed pipelines; production requires a license.

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Iguazio

ML platform

Iguazio is a self-hosted ML and gen AI operations platform built on MLRun, combining pipelines, a feature store, serving and monitoring.

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Valohai

ML platform

Valohai runs versioned ML training, pipelines and endpoints across clouds, on-prem GPUs, Kubernetes and Slurm, with automatic execution lineage.

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H2O.ai

ML platform

H2O.ai combines free H2O-3 AutoML with licensed feature engineering, explainability and private GenAI for cloud, on-premises and air-gapped deployments.

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Polars

Processing engine

Polars is a free, MIT-licensed DataFrame engine for lazy Python pipelines, with SQL support and distributed execution through Polars Nanook.

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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.