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SQream VS IBM Analytics Engine

Compare SQream VS IBM Analytics Engine and see what are their differences

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

SQream logo SQream

SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
  • SQream Landing page
    Landing page //
    2023-09-17

SQream is a data analytics acceleration platform built especially for massive data - from terabytes to petabytes. SQream takes queries down from days to hours and hours to minutes. The SQream platform provides the ability to analyze more data, faster, with multiple dimensions and cuts data preparation significantly by enabling ad-hoc querying on raw data. Leading global organizations in telecommunications, healthcare, ad-tech, retail and more rely on SQream to achieve critical business insights and potentially valuable BI across their massive data stores.

  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11

SQream features and specs

No features have been listed yet.

IBM Analytics Engine features and specs

  • Scalability
    IBM Analytics Engine allows you to scale resources up or down based on demand, which helps optimize performance and costs.
  • Integration with IBM Cloud
    It integrates seamlessly with other IBM Cloud services, providing enhanced capabilities for data processing and analytics within the cloud ecosystem.
  • Support for Multiple Analytics Engines
    The platform supports various analytics engines like Apache Spark and Apache Hadoop, giving users flexibility in choosing tools that best fit their analytics needs.
  • Automated Management
    IBM Analytics Engine offers automated cluster management and maintenance, which reduces the operational burden on IT teams.
  • Cost Efficiency
    Pay-as-you-go pricing model allows businesses to manage costs effectively by only paying for the resources they use.

Possible disadvantages of IBM Analytics Engine

  • Complexity
    The learning curve can be steep for users unfamiliar with cloud-based analytics tools or the specific engines supported by the platform.
  • Dependency on Internet Connectivity
    As a cloud-based service, consistent and reliable internet connectivity is required for optimal performance and accessibility.
  • Limited Offline Capabilities
    The service primarily operates in the cloud with limited offline capabilities, which might not be suitable for environments where offline access is crucial.
  • Potential for Vendor Lock-In
    Migrating away from IBM Analytics Engine to another platform might require significant effort and resources, raising concerns about vendor lock-in.
  • Data Privacy Concerns
    Storing and processing data in the cloud can raise data privacy and compliance concerns, especially for businesses in regulated industries.

SQream videos

+ Add

SQream DB v2020.1 - Product review and demo

More videos:

  • Review - Introducing SQream DB - The GPU-accelerated data warehouse for massive data
  • Review - SQream DB, GPU-accelerated data warehouse

IBM Analytics Engine videos

No IBM Analytics Engine videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to SQream and IBM Analytics Engine)

SQream

IBM Analytics Engine

Big Data
52 52%
Big Data
48% 48
Data Dashboard
50 50%
Data Dashboard
50% 50
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Data Management
54 54%
Data Management
46% 46

User comments

Share your experience with using SQream and IBM Analytics Engine. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, SQream seems to be more popular. It has been mentiond 1 time 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.

SQream mentions (1)

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing SQream and IBM Analytics Engine, you can also consider the following products

Microsoft Azure HDInsight - Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

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

Hortonworks - Hadoop-Related

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.

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

Fujitsu Symfoware Analytics Server - Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

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