Home/ETL Tools/Panoply vs AWS GlueUpdated on: April 20, 2024

Compare Panoply vs AWS Glue

98% The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More Remove
Panoply
Panoply ETL Tools (74 Ratings)
88% The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More Remove
AWS Glue
AWS Glue ETL Tools (33 Ratings)
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98% The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More Remove
Panoply

Panoply

ETL Tools (74 Ratings)
88% The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More Remove
AWS Glue

AWS Glue

ETL Tools (33 Ratings)
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Overview

Summary

Panoply enables its users to sync and store their data from various sources while exploring their data with SQL or visualize it with their preferred BI and analytics tools. The software is an easy to use platform that enables users to collect and combine their data without any technical knowledge or coding. It combines automated data integrations, and cloud data warehouse infrastructure. The automation is driven by AI to provide its users with the best data infrastructure as a service. Users can connect their preferred tools on an intuitive and straightforward user interface. Panoply enables its users to collect data from popular applications such as HubSpot, Salesforce, Shopify, etc. The software allows for its users to simplify the collection and transformation of their data through an ELT approach while also transforming noSQL data from Dynamo DB and Mongo DB into tables automatically. Users can parse, ingest and structure TSC and CSV, JSON, XLS and the server log files in an easy to access table. ..show more

AWS Glue is a serverless data integration platform that makes combining, preparing, and finding data for application development, machine learning, and analytics a breeze. It delivers all of the features required for data integration, allowing you to begin analyzing and putting your data to use in minutes rather than months. To make data integration simpler, AWS Glue offers both code-based and visual interfaces. The AWS Glue Data Catalog allows users to quickly locate and retrieve data. With just limited clicks in AWS Glue Studio, ETL (extract, transform, and load) developers and data engineers can graphically construct, execute, and monitor ETL processes. AWS Glue DataBrew allows data analysts and scientists to visually enhance, clean, and standardize information without writing codes. AWS Glue scans your data sources, recognizes data types, and recommends schemas for storing your data. It produces the code needed to conduct your data transformations and loading operations automatically. AWS Glue makes it simple to perform and manage hundreds of ETL processes, as well as to mix and duplicate data across numerous data stores using SQL. ..show more

Features

API Integration It allows easy integration of logic or data with other software application.

Compliance Tracking Helps in tracking and monitoring and auditing all the regulatory compliance requirements

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Extraction Helps in extracts the data from different databases and files

Data Filtering Helps in refining the data into datasets to form strategic groups

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Quality Control Helps in monitoring the quality of data input and processed

Data Transformation It helps in formatting the extracted data as specified in the target format.

Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc.

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

Metadata Management Helps in administering and managing the data that describes other data

Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

TECHNICAL DETAILS

Access Monitoring

24/7 (Live rep)

Business Hours

Online

Contact Number/Address

San Francisco, California / +1 415-570-9356

N/A

API

N/A

Deployment

SaaS/Web/Cloud

Mobile - Android

Mobile - iOS

Installed - Windows

Installed - Mac

Customers

Individuals

Freelancers

Large Enterprises

Medium Business

Small Business

Pricing

Pricing Model

Free Trial

Freemium

One-time license

Open-source

Subscription

Quotation Based

Plans

STARTER
$385 /Month

Features

  • Powerful Data Warehouse
  • Auto Data Pipeline (ELT)
  • Zero Maintenance
PRO
$775 /Month

Features

  • Everything in Starter, plus
  • Automated Backups
  • User Permissions
  • Live Chat Support
BUSINESS
$1165 /Month

Features

  • Everything in Pro, plus
  • Platform Analytics
  • Screen Share Support
  • Data Architect Support
  • < 1 hour reply time
ENTERPRISE
Custom

Features

  • Everything in Business, plus
  • 19 Global Regions
  • Materialized Views
  • Advanced Security
View Price Page
ETL jobs and development endpoints
$0.44 Others

Features

  • $0.44 per DPU-Hour, billed per second, with a 1-minute minimum (Glue version 2.0) or 10-minute minimum (Glue version 0.9/1.0) for each ETL job of type Apache Spark
  • $0.44 per DPU-Hour, billed per second, with a 1-minute minimum for each ETL job of type Python shell
  • $0.44 per DPU-Hour, billed per second, with a 10-minute minimum for each provisioned development endpoint
Data Catalog storage and requests
$1 /Month

Features

  • Storage:
    • Free for the first million objects stored
    • $1.00 per 100,000 objects stored above 1M, per month
  • Requests:
    • Free for the first million requests per month
    • $1.00 per million requests above 1M in a month
Crawlers and DataBrew interactive sessions
$0.44 Others

DataBrew interactive sessions: $1.00 per session

Features

  • $0.44 per DPU-Hour, billed per second, with a 10-minute minimum per crawler run
DataBrew jobs
$0.48 Others

$0.48 per DataBrew node hour

Features

  • 1-minute billing duration
View Price Page

SCREENSHOTS

Panoply Screenshots
View 1 screenshot(s)
AWS Glue Screenshots
View 1 screenshot(s)

INTEGRATIONS

  • MySQL
  • Google Analytics
  • Quickbooks
  • Zendesk Support
  • Xero
    NA

ALTERNATIVES

Top alternatives to Panoply

Array APV Series Load Balancers
Array APV Series Load Balancers
Snowflake
Snowflake
Hevo
Hevo
Matillion ETL
Matillion ETL
Skyvia
Skyvia

Top alternatives to AWS Glue

Spark CMS
Spark CMS
Informatica Cloud Data Quality
Informatica Cloud Data Quality
Databricks
Databricks
Azure Data Factory
Azure Data Factory
Panoply
Panoply