Software Alternatives & Reviews

10 Best Big Data Analytics Tools For Reporting In 2022

Tableau Zoho Analytics Splunk GoodData Arcadia Data Arcadia Enterprise SAS Visual Analytics DNIF IBM Cloud Pak for Data Azure Databricks
  1. Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
    Tableau is a user-friendly, intuitive visual analytics platform with built-in best practices for data exploration and informational storytelling. Users can access their full suite of self-service prep and analytics tools with a minimal learning curve, leveraging drag-and-drop visualizations and easy point-and-click AI-driven statistical modeling. Most users should be able to assemble data to their liking without advanced programming or special commands.

    #Business Intelligence #Data Dashboard #Data Visualization 8 social mentions

  2. Zoho Analytics is a self-service BI, reporting and analytics software which helps you create dashboards and analyze data. Sign up free.
    Pricing:
    Zoho Analytics is a self-service BI and analytics software used by the likes of Hyundai, Ikea, HP, and Philips. Their freemium plan is a bit feature lite but you can add up to 2 users, input up to 10K rows/records, and access unlimited reports and dashboards. This is a pretty sturdy offering for free-to-use data analysis. Zoho Analytics comes with a library of pre-built visualizations divided by function (social media, finance, IT, sales) to help you get started.

    #Data Dashboard #Business Intelligence #Data Visualization

  3. 3
    Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
    Splunk is currently used by 91 of the Fortune 100 companies, including Intel, Comcast, and Coca-Cola. Splunk offers machine learning-centric visibility and detection of entity profiling and scoring, risk behavior detection, anomaly observation, and high fidelity behavior-based alerts. You can access a free cloud-based sandbox trial of Splunk UBA to check it out before committing. They offer dedicated solutions to DevOps, Security, IT, and big data.

    #Machine Data Analytics #Data Analysis #Data Analytics 18 social mentions

  4. GoodData provides a cloud-based platform that enables more than 6,000 global businesses to monetize big data.
    GoodData is a big data analytics platform that provides users the tools, runtimes, and storage for data ingestion, preparation, transformation, and analytic queries. They boast 50+ connectors for data ingestion/synchronization and offer an Agile data warehousing system on higher tier plans. Their per-workspace pricing model lets unlimited users access sets of data models, metrics, calculations, and dashboards according to a flexible permissions system.

    #Business Intelligence #Big Data #Data Analytics 1 user reviews

  5. Unified Visual Analytics and BI platform on Hadoop
    Arcadia Data scored first place in the 2018 Big Data Analytics Market Study by Dresner Advisory Service report among 17 other BI vendors. Their in-data-lake BI architecture offers a drag-and-drop web-based interface, an in-cluster analytics engine that scales linearly for ease of management, and embedded analytics for Hadoop and Cloud. Telecom companies will enjoy their behavioral churn analysis, service cost controls, and impact of infrastructure reports.

    #Business Intelligence #Data Dashboard #Data Visualization

  6. Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.
    Arcadia Enterprise offers customized pricing upon request. They also have Arcadia Instant, a freemium version of their tool whereby processing is done on your computer rather than on a server cluster.

    #Business & Commerce #Data Dashboard #Office & Productivity

  7. See the value in your data through analytics, robust reporting and mobile BI – all from SAS Visual Analytics data visualization software.
    With SAS Visual Analytics, users are able to easily import data from databases, Hadoop, Excel spreadsheets, and social media. They offer a huge variety of interactive visualizations, including bar and pie charts, heat maps, animated bubble charts, vector maps, numeric series, tree maps, network diagrams, correlation matrix, forecasting, decision trees, and more. Plus they have ease-of-use options like one-click filtering and automated content linking.

    #ERP #API Tools #Order Management Software

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    DNIF is a first of its kind next gen SIEM with advanced security analytics and response automation that’s built on big data analytics platform for real-time threat detection and response. Get the SIEM you always wanted.
    DNIF HyperCloud is a cloud-native threat detection platform with SIEM, UEBA, and SOAR capabilities and unlimited scalability. This low-infrastructure tool can rapidly analyze vast quantities of unstructured log data and spot patterns to identify complex threats. DNIF allows you to build and customize dynamic dashboards and comes with ready-to-go widgets for threat detection, authentication, cloud monitoring and compliance.DNIF seamlessly integrates with a wide range of operating systems, applications, and security devices. DNIF pricing starts at $10,586 per month on an annual commitment.Pros:Easy to deploy and troubleshoot,Quick log search returns,Highly scalable,Easy to customize,Free trial, Cons:Could offer more flexible security use cases

    #Security & Privacy #Monitoring Tools #Security 2 social mentions

  9. Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
    IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize your workflow using their flexible API and complimentary proprietary and third-party services.

    #Data Dashboard #Technical Computing #Data Integration

  10. Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
    Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and libraries including TensorFlow, scikit-learn, and PyTorch.Databricks offers pay-as-you-go pricing based on your computer usage, or prepaid packages starting from $23,500 per year. Pros:Highly versatile,More powerful than comparable AWS and Google tools, Supports multiple languages, Cons:Expensive for smaller teams/projects, Dashboards and visualizations could be better

    #Technical Computing #Business & Commerce #Data Dashboard 2 social mentions

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    Embedded Analytics built exclusively for SaaS applications.
    Pricing:
    Qrvey is an embedded analytics platform used for SaaS data, analytics, and automation technologies. You can deploy it right into your pre-existing AWS account in order to visualize your entire data pipeline. Their start-ups package includes specialized support for pre-launch or early-launch companies, like quick installation and launch, serverless analytics scalability, no-code embedded widgets, up to 10 GB data, and a lower entry subscription price point.

    #Business Intelligence #Analytics #Embedded Analytics 1 social mentions

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