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.io 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

Move data
Ingestion and ELT
Ingestion and ELT2 tools reviewedMove data
Streaming and CDC
Streaming and CDCreviews comingStore
Warehouses and lakehouses
Warehouses and lakehouses3 tools reviewedStore
Real-time analytics databases
Real-time analytics databasesreviews comingTransform and orchestrate
Transformation
Transformation1 tool reviewedTransform and orchestrate
Orchestration
Orchestration2 tools reviewedTransform and orchestrate
Semantic layers
Semantic layersreviews comingAnalyze
BI and analytics
BI and analytics2 tools reviewedActivate
Reverse ETL and CDPs
Reverse ETL and CDPs1 tool reviewedTrust
Observability and quality
Observability and quality1 tool reviewedTrust
Catalogs and governance
Catalogs and governancereviews comingAI data stack
Vector databases
Vector databasesreviews comingAI data stack
LLM observability and evals
LLM observability and evalsreviews comingAI data stack
MLOps and feature stores
MLOps and feature storesreviews comingAI data stack
Feature stores
Feature storesreviews comingAI data stack
Document parsing and RAG frameworks
Document parsing and RAG frameworksreviews coming

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.