Best Data Management Software for Amazon QuickSight

Find and compare the best Data Management software for Amazon QuickSight in 2024

Use the comparison tool below to compare the top Data Management software for Amazon QuickSight on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Neota Reviews
    Neota’s no-code technology and modular building blocks enable businesses to quickly develop, deploy, and scale solutions that seamlessly integrate with the rest of a company’s tech stack. Neota delivers proven tools to build powerful digital solutions. With Neota’s visual, enterprise-grade platform for business process automation, innovative ideas quickly become sophisticated, secure applications. Neota’s intuitive platform enables businesses to easily develop and deploy decision-making solutions to automate workflows, documents, decisions and processes.
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    Amazon Redshift Reviews

    Amazon Redshift

    Amazon

    $0.25 per hour
    Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.
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    GeoSpock Reviews
    GeoSpock DB - The space-time analytics database - allows data fusion in the connected world. GeoSpockDB is a unique cloud-native database that can be used to query for real-world applications. It can combine multiple sources of Internet of Things data to unlock their full potential, while simultaneously reducing complexity, cost, and complexity. GeoSpock DB enables data fusion and efficient storage. It also allows you to run ANSI SQL query and connect to analytics tools using JDBC/ODBC connectors. Users can perform analysis and share insights with familiar toolsets. This includes support for common BI tools such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as Data Science and Machine Learning environments (including Python Notebooks or Apache Spark). The database can be integrated with internal applications as well as web services, including compatibility with open-source visualisation libraries like Cesium.js and Kepler.
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    CData Connect Reviews
    CData Connect Real-time operational and business data is critical for your organization to provide actionable insights and drive growth. CData Connect is the missing piece in your data value chain. CData Connect allows direct connectivity to any application that supports standard database connectivity. This includes popular cloud BI/ETL applications such as: - Amazon Glue - Amazon QuickSight Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud SAS Cloud SAS Viya - Tableau Online ... and many other things! CData Connect acts as a data gateway by translating SQL and securely proxying API calls.
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    Openbridge Reviews

    Openbridge

    Openbridge

    $149 per month
    Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.
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    Secoda Reviews

    Secoda

    Secoda

    $50 per user per month
    Secoda AI can help you generate documentation and queries from your metadata. This will save your team hundreds of hours of tedious work. Secoda AI will also generate documentation and queries based on your metadata. This will save your team hundreds of tedious hours and redundant data requests. Search across all columns, dashboards and metrics, as well as tables, dashboards and tables. AI-powered searches allow you to ask any question and receive a contextual response quickly. Answer questions. Our API allows you to integrate data discovery into your workflow, without disrupting the flow. Perform bulk updates, tag PII, manage tech debt and more. Eliminate manual errors and have complete trust in your knowledge base.
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    Lyftrondata Reviews
    Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.
  • 8
    DataTerrain Reviews
    Automation delivers business intelligence reporting upgrades at your fingertips! DataTerrain can help with Oracle Transactional Business Intelligence reports (OTBI), which include extensive use of HCM extracts. With industry-leading clients in the USA and Canada, our expertise in HCM analytics is evident. We have also been able to create reports with embedded security features. We can provide references and pre-built dashboards and reports. Oracle's cloud-based, fully integrated talent acquisition solution (Taleo), includes employee referrals and recruitment marketing to source talent, automate recruiting, and streamline employee onboarding. With more than 200 customers around the world, we have been proving our expertise in building dashboards and reports for over ten years. DataTerrain is a leader in Snowflake, Tableau Analytics/reporting Amazon's Quicksight analytics/reporting, Jasper studio reporting, and solutions for Big Data.
  • 9
    Sifflet Reviews
    Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.
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    APERIO DataWise Reviews
    Data is used to inform every aspect of a plant or facility. It is the basis for most operational processes, business decisions, and environmental events. This data is often blamed for failures, whether it's operator error, bad sensor, safety or environmental events or poor analytics. APERIO can help solve these problems. Data integrity is a critical element of Industry 4.0. It is the foundation on which more advanced applications such as predictive models and process optimization are built. APERIO DataWise provides reliable, trusted data. Automate the quality of PI data and digital twins at scale. Validated data is required across the enterprise in order to improve asset reliability. Empowering the operator to take better decisions. Detect threats to operational data in order to ensure operational resilience. Monitor & report sustainability metrics accurately.
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    AWS Clean Rooms Reviews
    Create clean rooms quickly and collaborate with partners without sharing raw data. AWS Clean Rooms allows customers to deploy their clean rooms more quickly and easily without having to build, maintain, and manage their own solutions. APIs can be used by companies to integrate AWS Clean Rooms functionality into their workflows. AWS Clean Rooms allows companies and their partners to more easily and securely collaborate on their collective datasets. All without sharing or stealing each other's underlying data. AWS Clean Rooms allows you to create a data clean room and collaborate with other companies on AWS in minutes. This will allow you to gain unique insights into advertising campaigns, investment decisions and research and development. AWS Clean Rooms make it easy to generate insights using multiparty data, with minimal data movements and without copying the underlying data.
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