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Apache Pinot VS MapR Converged Data Platform

Compare Apache Pinot VS MapR Converged Data Platform and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Pinot logo Apache Pinot

Apache Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency.

MapR Converged Data Platform logo MapR Converged Data Platform

An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
Not present
  • MapR Converged Data Platform Landing page
    Landing page //
    2022-10-08

Apache Pinot features and specs

No features have been listed yet.

MapR Converged Data Platform features and specs

  • Unified Data Platform
    The platform integrates various types of data (structured, unstructured, and semi-structured) into a single comprehensive data fabric, simplifying data management across different environments.
  • Scalability
    MapR Converged Data Platform is designed to scale efficiently and can handle large volumes of data, making it suitable for enterprises with growing data needs.
  • Real-time Data Processing
    The platform supports real-time data analytics and processing, providing businesses with timely insights and the ability to make quick decisions.
  • High Availability and Reliability
    MapR offers robust data replication and failover mechanisms, ensuring high availability and reliability of data services.
  • Multi-model Support
    Supports multiple data models, including files, tables, and streams, allowing for versatile application development and analytics.
  • Security Features
    The platform provides advanced security features like authentication, authorization, encryption, and auditing to protect sensitive data.

Possible disadvantages of MapR Converged Data Platform

  • Complexity
    The platform can be complex to deploy and manage, requiring skilled personnel for optimal performance and maintenance.
  • Cost
    High operational and licensing costs can be a downside, especially for small and medium-sized enterprises with limited budgets.
  • Steep Learning Curve
    New users may face a steep learning curve due to the sophisticated features and functionalities of the platform.
  • Integration Challenges
    Integrating MapR with existing enterprise systems or third-party tools can present challenges and may require additional development efforts.
  • Vendor Lock-in
    Enterprises may experience dependency on the vendor for support and updates, potentially leading to challenges if considering a switch to another platform.

Apache Pinot videos

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MapR Converged Data Platform videos

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Lab Video Summary - MapR Converged Data Platform with MapR Streams

Category Popularity

0-100% (relative to Apache Pinot and MapR Converged Data Platform)

Apache Pinot

MapR Converged Data Platform

Big Data
53 53%
Big Data
47% 47
Data Dashboard
13 13%
Data Dashboard
87% 87
Databases
100 100%
Databases
0% 0
Development
0 0%
Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pinot and MapR Converged Data Platform

Apache Pinot Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
The biggest value behind Apache Pinot is that you can index each column, which allows it to process data at a super fast speed. “It’s like taking a pivot table and saving it to disk. So you can get this highly dimensional data with pre-computed aggregations and pull those out in what seems like supernaturally fast time,” says Tim Berglund, Developer Relations at StarTree....
Source: embeddable.com

MapR Converged Data Platform Reviews

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What are some alternatives?

When comparing Apache Pinot and MapR Converged Data Platform, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Apache Druid - Fast column-oriented distributed data store

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

DuckDB - DuckDB is an in-process SQL OLAP database management system

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

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