Software Alternatives & Reviews

Top Big Data Tools For 2021

Synapse Databricks Snowflake Amazon AWS Azure Data Factory Informatica Microsoft Power BI Looker
  1. Synapse is a semantic launcher written in Vala that you can use to start applications as well as find and access relevant documents and files by making use of the Zeitgeist engine.
    Azure is a cloud computing platform that serves as a basis for many data solutions. As explained previously in another post on this blog, Synapse Analytics is a rebranded version of the Azure SQL Data Warehouse. Among the improvements included in the new version, it is worth noting that now it integrates with Apache Spark and makes it possible to combine data warehousing and big data analysis in one service. Synapse features a convenient web interface that enables you to work with data by using SQL scripts, along with an SQL on-demand query service.

    #App Launcher #Windows Tools #Productivity 1 social mentions

  2. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
    Pricing:
    • Open Source
    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.

    #Data Science #Data Dashboard #Database Tools 17 social mentions

  3. Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
    This platform can be used for data warehousing, data science, data engineering, sharing, and application development. It enables you to easily secure your data and execute various analytic workloads. Snowflake also ensures a seamless experience when working with multiple public clouds.

    #Data Warehousing #Cloud Data #Data Dashboard 4 social mentions

  4. Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
    It’s impossible to talk about big data without mentioning Amazon Web Services (AWS). Amazon Redshift is a data warehouse solution with great scalability capabilities. Redshift reduces the load time by using Massively Parallel Processing architecture and distributes queries among multiple nodes. It also features an SQL interface and enables you to benefit from the well-developed AWS ecosystem.

    #Cloud Computing #Cloud Infrastructure #IaaS 362 social mentions

  5. Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.
    Azure Data Factory is a cloud solution that enables you to integrate data between multiple relational and non-relational sources, transforming it according to your objectives and requirements.

    #ETL #Data Integration #Workflow Automation 3 social mentions

  6. As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
    This tool enables businesses to collect and process big data in real-time. It automates database management and enables you to manage your big data assets from anywhere. Informatica also features a big data parser, a smart data catalog, data relationship identification, and an intelligent data lake.

    #Data Dashboard #Database Tools #Data Science And Machine Learning

  7. BI visualization and reporting for desktop, web or mobile

    #Data Visualization #Analytics Dashboard #Data Dashboard 17 social mentions

  8. 8
    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.
    Looker is another big data analysis and visualization solution from Google. It has its own proprietary language LookML which might make it less approachable than its alternatives, but experienced data teams will certainly appreciate its data modeling layer that’s easy to reuse and maintain. It offers different options for data delivery and enables you to schedule the delivery of reports.

    #Data Dashboard #Business Intelligence #Data Visualization 14 social mentions

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