Software Alternatives, Accelerators & Startups

Send Anywhere VS Databricks

Compare Send Anywhere VS Databricks and see what are their differences

Send Anywhere logo Send Anywhere

Send whatever you want, wherever you want

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Send Anywhere Landing page
    Landing page //
    2023-05-13
  • Databricks Landing page
    Landing page //
    2023-09-14

Send Anywhere videos

👍INCREDIBLE APP👍SEND ANYWHERE! SEND ANYTHING TO ANYONE FAST & FREE ALL DEVICES/PLATFORMS!

More videos:

  • Review - Send Anywhere App Review For Android and IOS
  • Review - Send Anywhere (File Transfer) App Review | Vs Professional Group | Tamil

Databricks videos

Introduction to Databricks

More videos:

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

Category Popularity

0-100% (relative to Send Anywhere and Databricks)
File Sharing
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Cloud Storage
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Send Anywhere and Databricks. For example, how are they different and which one is better?
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Reviews

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

Send Anywhere Reviews

13 WeTransfer Alternatives (Free) in 2022
Send Anywhere is file-sharing software that takes an easy, quick, and unlimited approach to file sharing. It is one of the best WeTransfer competitors which provides service for unlimited file storing and sharing, but their speeds and usability is compromised.
Source: www.guru99.com

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

Databricks might be a bit more popular than Send Anywhere. We know about 17 links to it since March 2021 and only 15 links to Send Anywhere. 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.

Send Anywhere mentions (15)

  • Can someone who is on steam please upload the Air dribble hoops workshop map for those of us on epic? Since it's impossible to get the map through the workshop map downloader plugin.
    Yeah thanks that would be awesome. You can upload it on https://send-anywhere.com/ or something like that. Source: about 1 year ago
  • How do i send photos from pc to iPhone over Bluetooth
    I personally use sendanywhere. https://send-anywhere.com/. Source: over 1 year ago
  • Pictures to iPhone
    In order to send the image or video exactly as it was taken then the best options from the S22 are QuickShare where the files are uploaded to the cloud and a link is shared or via a third partly like https://send-anywhere.com/. Source: over 1 year ago
  • Trying to transfer mimikatz.exe to the target machine in wreath room but it isn’t working look at screen shots, help please
    Use https://send-anywhere.com/ to send files to and from your machine to the attack machine. It has worked for me multiple times. Source: over 1 year ago
  • Best way to syncronise Project Progress between Devices?
    I mainly use Godot on my Desktop PC at home. But I would also like to be able to work on my Projects via my Laptop because I often get Ideas while away from home. I once used send anywhere to copy a couple of scripts onto my Laptop to work on them and just replace the Files afterwards, but I'm unsure if this approach would work well with an entire Project. Source: over 1 year ago
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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 / almost 2 years 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 / about 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 Send Anywhere and Databricks, you can also consider the following products

WeTransfer - WeTransfer is a free service to send big or small files from A to B.

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

ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC

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.

SHAREit - SHAREit allows you to transfer files and data from your phone to another device without having to rely on WiFi or a data plan.

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.