The Panoply directory: every data tool, one honest card each

Quick answer:

This is the index of the Panoply directory: every data tool we’ve reviewed, sorted into the categories a real stack is built from. One honest card per tool with real pricing, a Panoply Score out of 100, public adoption signals and a signed verdict. No vendor writes their own page.

The old panoply.kinsta.cloud used this address for its list of 60-plus connectors into the Panoply warehouse. That product was discontinued in 2026; the connector pages now point here.

Browse by category

Warehouses and lakehouses3 tools reviewedCloud warehouses and lakehouses: the system of record for analytics.BI and analytics2 tools reviewedDashboards, self-serve exploration and embedded analytics.Ingestion and ELT2 tools reviewedManaged connectors that copy SaaS and database data into a warehouse on a schedule.Orchestration2 tools reviewedSchedulers that run the pipeline, retry it, and tell you when it breaks.Observability and quality1 tool reviewedCatches bad data before the dashboard does: freshness, volume, schema and distribution checks.Transformation1 tool reviewedSQL modeling frameworks that turn raw tables into tested, documented models.Reverse ETL and activation1 tool reviewedSyncs audiences and metrics from the warehouse into CRMs, ad platforms and support tools.Vector databasesreviews comingStores and searches embeddings for retrieval, recommendations and semantic search.LLM observability and evaluationreviews comingTraces, evals and monitoring for applications built on language models.Catalogs and governancereviews comingWho owns what, what it means, and who is allowed to see it.MLOps platformsreviews comingTraining, deployment and monitoring of machine-learning models.Semantic layersreviews comingOne definition of revenue, served to every BI tool.Streaming and CDCreviews comingChange data capture and event streams for data that cannot wait for the nightly batch.Feature storesreviews comingServes consistent features to training and to production inference.

All reviewed tools (12)

72 Open source

Airbyte

Ingestion and ELT

Open-source ELT with a hosted Cloud option. Free if you self-host, credit-based on Cloud, capacity-based on the enterprise plans.

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77 Open source

Apache Airflow

Orchestration

The default open-source orchestrator. Free to run yourself; managed versions from Astronomer (Astro deployments from $0.35 an hour), AWS and Google.

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74 Free tier

BigQuery

Warehouses and lakehouses

Google's serverless warehouse. Pay $6.25 per TiB scanned with the first TiB free each month, or buy slot capacity by the hour.

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72 From $10/mo

Dagster

Orchestration

Asset-based orchestrator with a hosted Dagster+ control plane. Open source is free; Dagster+ starts at $10 a month plus $0.040 per credit.

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69 From $0.15/DBU

Databricks

Warehouses and lakehouses

The lakehouse platform built around Spark and Delta Lake. Priced per Databricks Unit (DBU) on top of your own cloud bill, starting at $0.15 per DBU.

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83 Free tier

dbt

Transformation

The standard for SQL transformation. dbt Core is open source; dbt Cloud adds a scheduler and IDE, free for one seat and $100 per seat a month on Starter.

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57 Free tier

Fivetran

Ingestion and ELT

Managed ELT connectors that copy SaaS and database data into your warehouse. Free up to 500k rows a month, usage-based after that.

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55 Free tier

Hightouch

Reverse ETL and activation

Reverse ETL and a composable CDP on top of your warehouse. Free for two active syncs, usage-based pricing above that.

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39 Quote only

Looker

BI and analytics

Google's governed BI platform with the LookML semantic layer. Sold as annual Standard, Enterprise and Embed editions, priced through sales.

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84 Open source

Metabase

BI and analytics

The fastest BI tool to stand up. Open source and free to self-host; Metabase Cloud from $100 a month for five users.

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40 Quote only

Monte Carlo

Observability and quality

The category-defining data observability platform. Automatic freshness, volume and schema monitors, lineage and incident management. Credit-based pricing through sales.

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60 Usage-based

Snowflake

Warehouses and lakehouses

The cloud data warehouse most teams compare everything else against. Usage-based credits and storage, four editions from Standard to Virtual Private Snowflake.

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How the directory is organised

Seven groups follow the path data takes through a company: Move data (ingestion, streaming and CDC), Store (warehouses and lakehouses), Transform and orchestrate (transformation, orchestration, semantic layers), Analyze (BI), Activate (reverse ETL and CDPs), Trust (observability, quality, catalogs) and the AI data stack (vector databases, LLM observability, MLOps). Categories with no reviews yet are listed so you can see what’s coming.

Reading a tool card

  • Price label: the entry point in plain words (“Free tier”, “From $2/credit”, “Quote only”), verified on the date shown.
  • Panoply Score: pricing honesty, adoption evidence, momentum, openness, practitioner sentiment and an editorial verdict. The full method is public.
  • Best for: the buyer the tool actually fits, in one line.

New to the vocabulary? The glossary covers every term used on these cards, from ELT to vector databases. For the bigger picture, start with the Data Warehouse Guide.