Software Alternatives, Accelerators & Startups

17track VS Databricks

Compare 17track VS Databricks and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

17track logo 17track

All-in-one package tracking

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • 17track Landing page
    Landing page //
    2023-04-04
  • Databricks Landing page
    Landing page //
    2023-09-14

17track features and specs

  • Comprehensive Tracking
    17track supports tracking for over 500 carriers worldwide, making it a versatile tool for monitoring packages from various shipping services.
  • User-Friendly Interface
    The platform features a clean and intuitive interface, allowing users to easily input tracking numbers and view the status of their shipments.
  • Real-Time Updates
    Users get real-time updates on the status and location of their packages, which helps in tracking the exact progress of deliveries.
  • Multi-Language Support
    17track is available in multiple languages, making it accessible to a global audience.
  • Mobile App Availability
    The service offers mobile apps for both iOS and Android, enabling users to track packages on-the-go.

Possible disadvantages of 17track

  • Advertisements
    The free version of 17track includes advertisements, which may be distracting for users.
  • Data Privacy Concerns
    Users may be concerned about sharing their tracking numbers and personal data with a third-party platform.
  • Occasional Inaccuracies
    Some users report occasional inaccuracies in tracking information, which can lead to confusion about the actual status of their shipments.
  • Limited Advanced Features
    While great for basic tracking, 17track may lack some advanced features found in specialized logistics and supply chain management tools.
  • Dependency on Carrier Updates
    The accuracy and timeliness of tracking information depend on the data provided by the carriers, which can vary in quality.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Analysis of 17track

Overall verdict

  • Yes, 17track is considered to be a good and reliable tool for tracking packages from multiple carriers.

Why this product is good

  • 17track is widely regarded as a good package tracking platform because it allows users to track shipments from a vast number of international and domestic carriers, making it convenient for those who shop online from different sources. The platform also offers a user-friendly interface, mobile app support, and detailed tracking information.

Recommended for

    17track is recommended for individuals who frequently shop online from various international retailers and need a centralized tool to track parcels from numerous carriers in one place. It's also useful for small businesses that want to provide customers with an easy way to track their orders.

17track videos

17track.net Website Review How To Use and Track Packages

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 17track and Databricks)
Shipping and Tracking
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Application Bundler
100 100%
0% 0
Big Data Analytics
0 0%
100% 100

User comments

Share your experience with using 17track and Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare 17track and Databricks

17track Reviews

  1. Stivan
    ยท Working at Ordertracker ยท

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 should be more popular than 17track. It has been mentiond 18 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.

17track mentions (2)

  • ETA to North America?
    14-21 days for me. 17track.net/enallows you to follow the progress if you know your tracking number. Source: about 3 years ago
  • ๐ŸŽ‰Special offer
    โœ…Package timely tracked on:https://17track.net/en. Source: almost 4 years ago

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™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: over 3 years 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 4 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 4 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 / over 4 years ago
View more

What are some alternatives?

When comparing 17track and Databricks, you can also consider the following products

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

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

OneTracker - OneTracker โ€“ Package Tracker is an app by OneTracker Team that helps users track all their delivery vehicles and staff to increase the productivity of their delivery business.

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.

TrackChecker Mobile - TrackChecker Mobile app features tracking of parcels and online orders, so users donโ€™t have to worry about losing a package by tracking the parcel right on their mobile phone screen.

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