Deequ vs. Spark Inventory Comparison


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About Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.	About Spark Inventory is inventory management software for multichannel product businesses, with AI demand forecasting and purchasing. Its Demand ESP engine forecasts each SKU from Shopify, Amazon, WooCommerce, Square and other sales history, accounts for seasonality, and weighs available stock, incoming purchase orders and supplier lead times. Spark recommends reorder quantities and drafts purchase orders for your approval. Text Sparki from your phone: ask what needs reordering, reply YES, and a draft PO is created (included on Solo and up). Spark also handles multiple warehouses and bins, transfers, cycle counts, quotes, sales orders, invoices, returns, bills of materials, and wholesale and supplier portals. The mobile app covers receiving, picking, packing and counting. Spark syncs with QuickBooks Online and Xero and works with Claude and ChatGPT. A free plan is available for one user.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Anyone looking for an Unit Testing solution that measures data quality in large datasets	Audience Ecommerce brands, wholesalers, distributors, light manufacturers, and 3PLs that need demand forecasting and purchasing in one inventory system.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $99/month Free provides one user with monthly forecasting. Solo is $99/month for 2,500 orders; Operate is $349/month for 10,000 orders; Scale is $749/month for 25,000 orders. Paid plans include unlimited users and a 14-day free trial. Paid-plan capacity beyond the included allowance is $49 per 2,500 orders. Custom 3PL pricing is negotiated. One-time services include historical data migration for $500–$1,500, price-book implementation for $1,500–$2,500, and 3PL client onboarding at $250 per client. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information Deequ github.com/awslabs/deequ	Company Information Spark Inventory Founded: 2024 United States sparkinventory.com
Alternatives Spark Streaming Apache Software Foundation	Alternatives Forthcast
Azure Databricks Microsoft	Inventra Irtiqa Hub
Apache Spark Apache Software Foundation	VNDLY
MLlib Apache Software Foundation	QuickBooks Commerce Intuit
Apache Mahout Apache Software Foundation View All	Tru-Stock AI View All
Categories Unit Testing Supported	Categories Inventory Management Supported
	Show More Features Inventory Management Features Alerts/Notifications Supported Barcoding / RFID Not Supported Forecasting Supported Inventory Optimization Supported Kitting Supported Manufacturing Inventory Management Supported Mobile Access Supported Multi-Channel Management Supported Product Identification Supported Reorder Management Supported Reporting/Analytics Supported Retail Inventory Management Supported Supplier Management Supported Warehouse Management Supported
Integrations Amazon Seller Central Not Supported Apache Spark Supported ChatGPT Not Supported Claude Not Supported Etsy Not Supported Faire Not Supported Flexport Not Supported Gmail Not Supported Model Context Protocol (MCP) Not Supported QuickBooks Online Not Supported ShipStation Not Supported Shopify Not Supported Stripe Not Supported WooCommerce Not Supported Xero Not Supported Zoho Books Not Supported Show More Integrations View All 1 Integration	Integrations Amazon Seller Central Supported Apache Spark Not Supported ChatGPT Supported Claude Supported Etsy Supported Faire Supported Flexport Supported Gmail Supported Model Context Protocol (MCP) Supported QuickBooks Online Supported ShipStation Supported Shopify Supported Stripe Supported WooCommerce Supported Xero Supported Zoho Books Supported Show More Integrations View All 15 Integrations
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