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Snowflake VS MapR Converged Data Platform

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

Snowflake logo Snowflake

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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.
  • Snowflake Homepage
    Homepage //
    2024-07-19
  • MapR Converged Data Platform Landing page
    Landing page //
    2022-10-08

Snowflake features and specs

  • Scalability
    Snowflake offers virtually unlimited scalability. It separates compute and storage, so both can scale independently according to the needs of the workload.
  • Performance
    Snowflake's architecture is optimized for performance, offering automatic clustering and parallel processing which enable faster query execution.
  • Ease of Use
    The platform provides a user-friendly interface and automates many maintenance tasks, such as indexing and partitioning, making it easier for both data engineers and analysts to use.
  • Data Sharing
    Snowflake enables seamless data sharing among different accounts without the need to duplicate data, improving collaboration and data management.
  • Security
    Snowflake includes comprehensive security features such as end-to-end encryption, role-based access control, and VPC/VPN network policies.
  • Multi-Cloud Support
    Snowflake supports multiple cloud providers, including AWS, Azure, and Google Cloud, giving organizations flexibility in choosing their infrastructure.

Possible disadvantages of Snowflake

  • Cost
    While powerful, Snowflake can become expensive, especially if not managed properly, due to its pay-as-you-go pricing model.
  • Vendor Lock-In
    Once an organization is deeply integrated with Snowflake, switching to another solution can be complex and costly, contributing to vendor lock-in.
  • Learning Curve
    Though easier than many traditional databases, there is still a learning curve associated with mastering Snowflake’s unique architecture and features.
  • Third-Party Ecosystem
    While Snowflake integrates well with many third-party tools, it may not support all the tools and services you are currently using, requiring additional effort for integration.
  • Network Performance
    Snowflake's performance can be impacted by network latency, especially if large datasets are being transferred over the internet between Snowflake and on-premises systems.

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.

Analysis of Snowflake

Overall verdict

  • Yes, Snowflake is considered a good solution for businesses looking for a modern data warehousing solution that is easy to use, requires minimal infrastructure management, and provides strong performance for big data analytics.

Why this product is good

  • Snowflake is a cloud-based data warehousing platform known for its scalability, flexibility, and speed. It offers a unique architecture that separates storage and computing, allowing for on-demand scaling and efficient data management. Its support for structured and semi-structured data, along with a wide range of integrations and robust security features, makes it a popular choice for many organizations.

Recommended for

  • Organizations with large and diverse datasets that require scalable storage and computing solutions.
  • Data-driven companies looking for a platform that supports real-time analytics and machine learning workloads.
  • Businesses seeking a cost-effective solution with pay-as-you-go pricing and minimal infrastructure overhead.
  • Enterprises needing to integrate data from various sources, including cloud services, IoT devices, and relational databases.

Snowflake videos

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MapR Converged Data Platform videos

Lab Video Summary - MapR Converged Data Platform with MapR Streams

Category Popularity

0-100% (relative to Snowflake and MapR Converged Data Platform)
Big Data
89 89%
11% 11
Data Dashboard
65 65%
35% 35
Data Warehousing
100 100%
0% 0
Development
0 0%
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 Snowflake and MapR Converged Data Platform

Snowflake Reviews

Top 6 Cloud Data Warehouses in 2023
Snowflake accommodates data analysts of all levels since it does not use Python or R programming language. It is also well known for its secure and compressed storage for semi-structured data. Besides this, it allows you to spin multiple virtual warehouses based on your needs while parallelizing and isolating individual queries boosting their performance. You can interact...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Snowflake is one of the most popular data warehousing solutions on the market and delivers an incredible experience across multiple public clouds. By using Snowflake, companies can pull data from various business intelligence tools to do reporting and analytics without any database administration, thus avoiding high overhead costs. Unlike other data warehousing services,...
Top 5 BigQuery Alternatives: A Challenge of Complexity
Plus, Snowflake doesn’t include data integrations, so teams will have to bolt on an ETL tool to pipe their data into the warehouse. Those third-party pipelines add extra cost and overhead in the form of setup and maintenance that some teams may not want to absorb.
Source: blog.panoply.io
Top Big Data Tools For 2021
This platform can be used for data warehousing, data science, data engineering, sharing, and application development. It enables you to easily secure your data and execute various analytic workloads. Snowflake also ensures a seamless experience when working with multiple public clouds.

MapR Converged Data Platform Reviews

We have no reviews of MapR Converged Data Platform yet.
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Social recommendations and mentions

Based on our record, Snowflake seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Snowflake mentions (4)

  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Snowflake, a data warehousing company founded by ex-Oracle and ex-VectorWise experts, responded with a blog post that critically reviewed Databricks' findings, reported different results for the same benchmark, and claimed comparable price/performance to Databricks. - Source: dev.to / about 3 years ago
  • Personal Support at Internet Scale
    Snowflake: Snowflake is fast, and works well as a product analytics database. - Source: dev.to / over 3 years ago
  • Less than 1TB of data what tools should I get better at?
    If you just go to snowflake.com you can sign up for a demo account for free for a month and I'm fairly certain you can get more than one of these accounts (I would recycle emails doing it all the time.) Once you have an account there's lots of docs and videos out there either using the Database via their UI or via python using their connector. They also have a pyspark connector but you might want to just learn... Source: over 3 years ago
  • *BOMATO*
    Early stage funding & VCs clearly demarcate between tech companies and tech enabled companies. But, once the PE comes into the picture at the scale of BlackStone, the border between doordash.com and snowflake.com starts to blur. The motivation is to make some bucks by going to IPO and they know how to get it done. Source: almost 4 years ago

MapR Converged Data Platform mentions (0)

We have not tracked any mentions of MapR Converged Data Platform yet. Tracking of MapR Converged Data Platform recommendations started around Mar 2021.

What are some alternatives?

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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