Software Alternatives, Accelerators & Startups

BarkingData VS Databricks

Compare BarkingData VS Databricks and see what are their differences

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BarkingData logo BarkingData

Leverage AI based Web Mining technology to build tens of thousans customized datasets for your business!

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • BarkingData Landing page
    Landing page //
    2022-05-09

Unlock Tens Of Thousands Of Datasets From The Public Web With our distinctive web mining technolgoy, barkingdata has helped 1000+ clients globally to discover and extract valuable informatioin from the public web. Our unique technology and innovative methdology, combined with our engineers'' solid web mining experience, allows us to bring real values to our clients research and analysis. After working on thousands of web mining projects, we know how tedious and time consuiming it is to work with the complex modern websites. At barkingdata, our objective is to help customers design and implement the web mining and data extraction process so that customers don't need to deal with the websites and any underlying networking protocols by themselves. With our AI based web mining and data harvesting technology, we have successfully built 5000+ datasets over the past few years. Every week we are delivering 100M+ rows of data to our customers.

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

BarkingData features and specs

  • Memorable and Brandable
    BarkingData is a unique and creative domain name that combines an unexpected word ('Barking') with a tech-relevant term ('Data'), making it memorable and distinctive in the data industry.
  • Two-Word Compound Domain
    The domain is a clean two-word compound (Barking + Data) with no hyphens, numbers, or unusual characters, making it easy to type and share verbally.
  • .com TLD
    The domain uses the .com top-level domain, which is the most recognized and trusted TLD globally, lending credibility and professionalism to any business using it.
  • Short and Concise
    At 11 characters (excluding the TLD), BarkingData.com is relatively short, which makes it easier to remember, type, and fit on marketing materials.
  • Versatile Use Cases
    The domain could work for a variety of data-related businesses, from data analytics and monitoring platforms to data alert systems, playfully suggesting the idea of data that 'barks' or alerts you to important insights.

Possible disadvantages of BarkingData

  • Unclear Meaning
    The combination of 'Barking' and 'Data' doesn't immediately convey a specific product or service, which could confuse potential visitors or require additional branding effort to explain the business purpose.
  • Informal Tone
    The word 'Barking' has a casual and playful connotation (associated with dogs), which may not be suitable for enterprise-level or corporate data services that require a more professional image.
  • Limited Industry Appeal
    The quirky nature of the name may limit its appeal to certain niches. Serious B2B data companies or financial data providers might find the name too whimsical for their target audience.
  • SEO Challenges
    The term 'Barking' is not typically associated with data or technology, so the domain may not benefit from organic search traffic for data-related keywords and could require significant SEO investment.
  • Potential Negative Associations
    In British English slang, 'barking' can mean 'crazy' (as in 'barking mad'), which could create unintended negative connotations in some markets, potentially undermining trust in a data-focused brand.

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.

BarkingData videos

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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 BarkingData and Databricks)
Data Mining
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Scraping
100 100%
0% 0
Big Data Analytics
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 BarkingData and Databricks

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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 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.

BarkingData mentions (0)

We have not tracked any mentions of BarkingData yet. Tracking of BarkingData recommendations started around May 2022.

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 / about 4 years ago
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What are some alternatives?

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

Yipit - Yipit is one of the leading platforms for getting the best deals at discounted prices and best coupons available on the market.

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

1010Data - 1010data provides cloud-based big data analytics for retail, manufacturing, telecom and financial services enterprises.

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.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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.