Panoply

Panoply

About TrustRadius Scoring
Score 8.6 out of 100
Panoply

Overview

Recent Reviews

Panoply Offloads Everything!

10 out of 10
March 04, 2022
Panoply is a large warehouse to store data. Our company uses it to host large quantities of data when we no longer need them. They are …
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Time to value is unbeatable

10 out of 10
December 22, 2018
We use Panoply to consolidate our data from everything from our ad networks, to our CRM, to our web and application analytics, to our …
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Pricing

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What is Panoply?

Panoply is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://panoply.io/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Features Scorecard

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Product Details

What is Panoply?

Panoply is an ETL-less, smart end-to-end data management system built for the cloud, which streamlines data from source to analysis. An end-to-end data management solution, Panoply provides the tools for data integration, connecting, transformation, warehousing, and more. The vendor claims Panoply delivers the world’s only unified, ELT and Smart Data Warehouse, expediting the journey of migrating raw data to analytics using machine learning and natural language processing.

The company, based in San Francisco and Tel Aviv, is privately held and funded by investors such as Intel Capital, 500 Startups, Blumberg Capital, and C5 Capital.

Panoply Features

  • Supported: ETL-less Data Integration
  • Supported: Agile Modeling and Learning Algorithms
  • Supported: Storage Optimization Algorithms
  • Supported: Default Modeling Algorithms
  • Supported: Smart Data Infrastructure (Use Case, Query and Server Optimization)

Panoply Screenshots

Simply click to connect 100 data sources.

Panoply Videos

The Data Management Problem and Why You Should Care

Watch Panoply.io - Self-Optimizing Data Warehouse Panoply explained in two minutes

Panoply Integrations

Panoply Competitors

Panoply Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish

Comparisons

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Frequently Asked Questions

What is Panoply?

Panoply is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.

Who uses Panoply?

The most common users of Panoply are from Small Businesses (1-50 employees) and the Information Technology & Services industry.

Reviews and Ratings

 (13)

Ratings

Reviews

(1-4 of 4)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
Panoply is a large warehouse to store data. Our company uses it to host large quantities of data when we no longer need them. They are stored there and then we can refer back to things when we need them. It is a great alternative to offload data when we need it.
  • data management
  • organization
  • search feature
Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.
Score 10 out of 10
Vetted Review
Verified User
Review Source
We used to run an old IBM database system for our media company. It wasn’t very efficient and used to bog things down, so we switched to Panoply. It’s much quicker and easier to work through.
  • It’s a good choice for building quick, multipurpose data stack for a variety of businesses needs.
  • The user interface could use some improvement for analytical tools. Apart from that, it’s great.
Love the support that we get from our dedicated data architect and the Panoply community. The Panoply team provides comprehensive documentation and online support to answer all our questions day or night.
Peter Weinberg | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
It's being used by the analysts in my organization. The organization isn't large enough to have departments, per se, but all the analysts in my organization use it. It's used to cut some of the work and fiddling out of data warehouse setup and use, because my organization's analysts want to spend more time working with the data rather than doing technical support
  • Redshift setup -- so much easier with Panoply, rather than messing around with AWS mishegoss
  • Automated data ingestion and formatting -- I love not having to write out SQL table schema
  • Easy scaling and data warehouse maintenance -- I don't like to have to mess with this in previous redshift implementations
  • I hate the chat bots
  • The automated data ingestion is great, but does sometimes make for weird columns
Great for setting up a data warehouse quickly and easily
Not as applicable for groups working with small data
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use Panoply to consolidate our data from everything from our ad networks, to our CRM, to our web and application analytics, to our application data. Tying application usage data to acquisition data has helped us significantly improve our marketing effectiveness and cost efficiency. We no longer have to rely on tenuous application integrations to measure our marketing outcomes.
  • Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
  • Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
  • Query speed. Automated query optimization has really sped up our dashboards.
  • Needs more user control
Panoply is great for smaller organizations where analytics is critical, but it is unrealistic to hire a data engineer or build a data infrastructure. Panoply comes as a full data stack out of the box.