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IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.
Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.
Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools
IBM Spectrum Computing is ranked 9th in Hadoop with 3 reviews while Informatica Big Data Parser is ranked 10th in Hadoop. IBM Spectrum Computing is rated 7.4, while Informatica Big Data Parser is rated 0.0. The top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". On the other hand, IBM Spectrum Computing is most compared with Red Hat CloudForms, Cloudera Distribution for Hadoop and HPE Ezmeral Data Fabric, whereas Informatica Big Data Parser is most compared with Apache Spark, Cloudera Distribution for Hadoop, Cloudera DataFlow, Cask and Hortonworks Data Platform.
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