Best Data Management Software for Datalytics

Find and compare the best Data Management software for Datalytics in 2024

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

  • 1
    Pentaho Reviews
    Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.
  • 2
    MicroStrategy Reviews
    With the platform that delivers sub-second response at scale, you can quickly deploy consumer-grade BI experiences on any device for every role. In minutes, create consumer-grade intelligence apps, empower users with data discovery, then seamlessly push content to customers, partners, employees, and employees. Our open platform allows you to inject the data that you trust into the tools that you love using our platform. MicroStrategy's #1-rated platform to embed embedded analytics. Mobile intelligence solutions can be deployed for any user on any device. They can be customized for your company without any coding. This is the fastest and most efficient way to run an Intelligent Enterprise.
  • 3
    Cloudera Reviews
    Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.
  • 4
    RapidMiner Reviews
    RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.
  • 5
    GeoDB Reviews
    A slow process and the dominance by intermediaries means that less than 10% of the 260 billion dollar big data market are being exploited. Our mission is to open 90% of the untapped data-sharing market to the public and democratize big data. A decentralized system that aims to create a data oracle network through an open protocol for interaction among participants. This will also help to sustain an economy. Multifunctional DAPP and crypto wallet allow you to receive rewards for your generated data, as well as use different DeFi tools in an easy-to-use UX. GeoDB marketplace lets data buyers from all over the globe purchase user generated data from GeoDB-connected applications. Data Sources are people who create data through GeoDB's proprietary and third-party apps. Validators facilitate data transfer and verify contracts using blockchain technology.
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