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MapR VS DataFleets

Compare MapR VS DataFleets and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

MapR logo MapR

MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appliโ€ฆ

DataFleets logo DataFleets

Data science for private data.
  • MapR Landing page
    Landing page //
    2022-10-09
  • DataFleets Landing page
    Landing page //
    2023-08-28

The world's first cloud platform for unified and privacy-preserving enterprise data analytics powered by Federated Learning. It's never been easier to securely bridge data silos and create new data-driven products with strong network effects. DataFleets allows data teams to ship their analytics out to data, wherever it resides, analyzing it compliantly (e.g., GDPR, CCPA) with game-changing results: 10x available data and 10x speed in accessing it.

MapR features and specs

  • High Performance
    MapR provides high-performance handling of data with extremely low-latency analytics, ideal for large-scale data operations.
  • Multi-Model Data Support
    Supports multiple data models including JSON, time series, and wide-column, enabling versatility in handling various types of data feeds.
  • Robust Security Features
    Offers advanced security features including data encryption, access control, and network security to ensure data protection.
  • Scalability
    Easily scales to accommodate petabyte-scale data across numerous nodes, making it suitable for growing enterprises.
  • Integrated Data Fabric
    The MapR Data Platform offers a unified data fabric that facilitates seamless data management across cloud, on-premises, and edge environments.
  • Support for Containers and Kubernetes
    Provides support for modern applications using containers and orchestration tools like Kubernetes, fostering flexibility in deployment.

Possible disadvantages of MapR

  • Complex Setup
    The initial setup and configuration can be complex and time-consuming, requiring specialized knowledge and skills.
  • Cost
    MapR can be expensive, especially for smaller companies or startups, due to licensing and infrastructure costs.
  • Steep Learning Curve
    There is a steep learning curve for new users unfamiliar with its ecosystem, which can hinder quick adoption.
  • Vendor Lock-in
    Dependence on proprietary technology may lead to vendor lock-in, making migrations to other platforms challenging.
  • Eco-System Compatibility
    Compatibility issues may arise with other big data tools and platforms, potentially limiting integration options.
  • Support Limitations
    While comprehensive, support and documentation sometimes lag behind newer features and updates, which can be an impediment.

DataFleets features and specs

No features have been listed yet.

Analysis of MapR

Overall verdict

  • Since its acquisition by HPE in 2019, MapR has transitioned into the HPE Ezmeral platform. This may affect its independent applicability, but its technology foundation remains solid, and organizations using HPE Ezmeral products might benefit from MapR's original capabilities. However, current users should evaluate HPE's roadmap and support offerings as part of their assessment.

Why this product is good

  • MapR was known for its robust, enterprise-grade data platform designed to handle a wide variety of data-intensive applications. It provided features like strong data processing capabilities, real-time analytics, and a scalable infrastructure, making it suitable for companies looking to manage large datasets efficiently. Additionally, MapR's integration capabilities with various data processing tools and its support for multiple workloads were seen as significant advantages.

Recommended for

  • Enterprises needing a scalable and resilient data platform
  • Organizations interested in real-time analytics and data processing
  • Companies already within the HPE ecosystem looking for integration
  • Businesses requiring robust support for big data applications

MapR videos

+ Add

Hadoop Distribution Comparison and Overview: Cloudera, MapR, and Hortonworks

More videos:

  • Review - The Answer to Life, the Universe, and Everything (sponsored by MapR) - Ted Dunning (MapR)
  • Review - Big Data & Brews: Tomer Shiran of MapR Talks About the Hadoop Market and the Company's Success

DataFleets videos

+ Add

Enterprise Analytics: Federated Learning and Differential Privacy

Category Popularity

0-100% (relative to MapR and DataFleets)

MapR

DataFleets

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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What are some alternatives?

When comparing MapR and DataFleets, you can also consider the following products

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.

BetterCloud - BetterCloud provides critical insights, automated management, and intelligent data security for cloud office platforms.

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

ManageEngine ADManager Plus - Unified Active Directory, Exchange, and Office 365 management and reporting solution.

Zoho Creator - Zoho Creator is a low-code application development platform that helps you build a custom, mobile-ready apps to run your business.

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