IBM Spectrum Computing Competitors and Alternatives

The top IBM Spectrum Computing competitors are
    Read reviews of IBM Spectrum Computing competitors and alternatives
    MapR
    Real User
    Founder at Chicago area Hadoop User Group (CHUG)
    Mar 02 2018

    What is most valuable?

    MapR’s strength comes from their file system. Because they start with the raw disk, they are able to expose the storage through various APIs and have the ability to lockdown and secure the file system better than the Apache derivatives, which... more»

    How has it helped my organization?

    To be clear, all of the main three vendors are capable of supporting multiple big data use cases. Where they differ is going to be in terms of scalability, supported tools, and the stability of the tools. MapR has MapR-DB, which supports most... more»

    What needs improvement?

    All products have room for improvement. Because of MapR-FS, they have an incredible advantage in terms of stability, cross cluster replication, and extensibility to create products like MapR-DB (Binary and JSON tables) and MapR Streams. One... more»
    Real User
    Vice President - Big Data and Delivery at a software R&D company with 51-200 employees
    Nov 22 2016

    What is most valuable?

    * Cloudera Manager for administering the Hadoop cluster * Cloudera specific solutions like Impala * Extensive documentation * Good user community

    How has it helped my organization?

    Implementing a Hadoop cluster has become relatively straight-forward using CDH. Administering it is also less complex. As a result, efforts spent in these areas are less than anticipated.

    What needs improvement?

    * Some of the UI features seem confusing e.g. charts on the CM Services page * Sometimes it gets confusing to follow a single path for installation due to multiple recommended approaches e.g. parcels vs packages
    Real User
    Solution Architect at MIMOS Berhad
    Feb 26 2017

    What is most valuable?

    * It's the one and only complete open source big data platform * Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc. * Customized dashboards * Web-based HDFS browser * SQL editor for Hive * Apache Phoenix - OLTP and... more»

    How has it helped my organization?

    * Maintenance of our own data lake in the enterprise-level * Storage and analysis of server logs * Applying Operational Intelligence in the enterprise-level based on the analysis of various department units data * Semantic analysis based on... more»

    What needs improvement?

    * Rolling upgrade * Disaster recovery features such as mirroring should be supported
    Jul 11 2018

    What do you think of Apache Spark?

    Primary Use Case Used for building big data platforms for processing huge volumes of data. Additionally, streaming data is critical. • Improvements to My Organization It provides a scalable machine learning library so that we can train and predict user behavior for promotion purposes. • Valuable Features Machine learning, real time streaming, and data processing are fantastic, as well as the resilient or fault tolerant feature. • Room for Improvement I would suggest for it to support more programming languages, and also provide an internal scheduler to schedule spark jobs with monitoring capability. • Use of Solution Trial/evaluations only.

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