Analance vs Databricks comparison

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102 views|68 comparisons
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30,172 views|19,226 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Analance and Databricks based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

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    Top Answer:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Ranking
    37th
    Views
    102
    Comparisons
    68
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    1st
    Views
    30,172
    Comparisons
    19,226
    Reviews
    47
    Average Words per Review
    446
    Rating
    8.2
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform.

    Analance is a robust, scalable end-to-end platform that combines Data Science, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.

    THE ANALANCE PLATFORM:

    • Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform.
    • Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.
    • Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes.
    • Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality.

    Product Capabilities

    • Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis.
    • Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models.
    • Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations.
    • Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization.
    • Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics.

    Key Features:

    • Get a demo of Analance or take it for a 30-day test drive.
    • Seamless Data Integration
    • Data Cleaning and Transformation
    • Predictive Analytics and Trends
    • Real-time Analytics
    • Prescriptive Analytics
    • Text and Sentiment Analytics
    • Social Analytics
    • Business Intelligence and Reporting
    • Interactive Visualization
    • Self-Serve Capability
    • Sign-Sign On to Access All Platforms within Analance

    Specifications

    Intended Users

    Large Enterprises, Mid Size Businesses, Small Businesses

    Devices Supported

    Web App, Web-based, Windows

    Supported Countries

    Global

    Supported Languages

    English, French

    Support Options

    User Manual, Online Support, Phone Support

    Link to our Page

    Free 1 Month Cloud Trial

    https://analance.ducenit.com/free-cloud-trial/

    Get a Demo

    https://analance.ducenit.com/get-a-demo/

    Free Consultation and Assessment

    https://analance.ducenit.com/solutions-consulting/

    Company & Product – Overview

    Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance. Analance is an enterprise-class, state of the art integrated platform that delivers power and ease of use to business users and data scientists with a seamless experience and platform scalability to support business growth and strategy.

    Get a demo of Analance or take it for a 30-day test drive.

    Website:

    https://analance.ducenit.com/

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    Sample Customers
    The Pain Center of Arizona
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Top Industries
    No Data Available
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Analance is ranked 37th in Data Science Platforms while Databricks is ranked 1st in Data Science Platforms with 77 reviews. Analance is rated 0.0, while Databricks is rated 8.2. On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Analance is most compared with , whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.