Software Alternatives & Reviews

PackageX Receive VS Databricks

Compare PackageX Receive VS Databricks and see what are their differences

PackageX Receive logo PackageX Receive

PackageX Receive digitizes package-receiving operations and delivers world-class package management solutions.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • PackageX Receive Landing page
    Landing page //
    2022-10-06

Our package management software uses machine vision and AI to automate your mailroom and front desk operations. PackageX Receive is easy to use, highly scalable, and works across industries, including:

  1. 🎓 Higher Education,
  2. 🏡 Real Estate, and
  3. 👨‍💻 Virtual Offices,
  4. 🏢 Co-working Spaces, and
  5. 🛎️ Hotels & Restaurants

How it works?

Simply snap a photo of any package or delivery label (even handwritten! ✍️), and our package management software will: 🌟 Automatically extract all relevant information, 🌟 Match deliveries to the correct recipients, 🌟 Manage notifications, 🌟 Send alerts and reminders to all recipients, 🌟 Collect proof of pickups, and 🌟 Keep track of every item that enters and leaves your mailroom

Why PackageX Receive?

👉 Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide 👉 100% powered by the cloud. No specialized hardware needed! 👉 Scan packages and notify recipients with the click of a single button 👉 Painless inbound and outbound package tracking 👉 Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient 👉 Users can assign a designated pickup person to collect all of their business's packages 👉 Real-time data and insightful analytics for smarter mailroom operation management 👉 Custom branding features to personalize email communication 👉 Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.

  • Databricks Landing page
    Landing page //
    2023-09-14

PackageX Receive

Pricing URL
-
$ Details
paid Free Trial
Platforms
Web Android iOS iPhone Browser

PackageX Receive videos

Automate Package Receiving Operations - PackageX Receive

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

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Logistics
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Data Dashboard
0 0%
100% 100
Last Mile Delivery Solution
Database Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PackageX Receive and Databricks

PackageX Receive Reviews

10+ Best Mailroom Management Software for Windows, Mac, Android 2022
PackageX Mailroom has the perfect package tracking software for mailrooms. Since 2018, PackageX Mailroom has been providing businesses and individuals with features such as mobile application management software, contactless pick up, barcode generators, and more.
Top 10 Warehouse Management Systems to Manage Warehouse Processes
PackageX Mailroom is a mailroom management software that uses machine vision technology to track packages with a picture. It gives you an optimal solution for mailroom management with zero manual entry.
Source: medium.com
7 Top Mailroom Management Apps In USA
PackageX Mailroom brings you a smart and innovative way to efficiently manage your mailrooms. It is a user-friendly and highly scalable app that can cater to various industries.

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PackageX Receive mentions (0)

We have not tracked any mentions of PackageX Receive yet. Tracking of PackageX Receive recommendations started around Mar 2021.

Databricks mentions (17)

  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 1 year ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 2 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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What are some alternatives?

When comparing PackageX Receive and Databricks, you can also consider the following products

DelivApp - Software for managing online ordering, delivery and loyalty for multi-unit restaurants

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Envoy Deliveries - Manage office deliveries simply by snapping a photo.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

AfterShip - AfterShip is the shipment tracking API for ecommerce businesses and marketplaces.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.