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SyncSort Integrate
Online
New Jersey, USA
1968
$101MN to $500MN
Enterprise
52 Likes
81 Buyers are Negotiating "Group Buyer Deal"

SyncSort Integrate USP

Syncsort offers DMX-h as its product offering in the data integration market. The software is designed to collect, prepare, blend, transform, and distribute the data in the minimum time possible. The ETL software allows data to be collected from numerous data sources, which include files, such as JSON, XML, Hadoop HDFS, and databases, such as Greenplus SQL server, Netezza, Oracle, Sybase, and Teradata. Request SyncSort Integrate Pricing to get more information.

Summary

The software offers cloud integration of data, which could be sourced from Amazon Redshift, Amazon S3, and Google Cloud Storage. The software allows access to both batch data processing as well as real-time streaming of data. It allows high-performance connectivity to big data and NoSQL databases, such as HBase, Cassandra, and MongoDB.

The DMX-h Hadoop ETL solution offers an array of used cases, such as change data capture, hash aggregations, joins, and weblogs processing, which are instrumental in enhancing Hadoop’s productivity.

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SyncSort Integrate
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Strengths
  • +13
    Data Migration/Conversion (ETL)
  • +14
    Delivery - Directly
  • +14
    Exception Reporting and Notification
  • +5
    Federated
  • +14
    Hub and Spoke
  • +9
    On-Premise
  • +6
    On-Site Support
  • +11
    Full Time Equivalent
  • +5
    Image
  • +7
    Speech/Audio
  • +12
    Subscription / Licensing
  • +6
    Video
  • +9
    Other Product Features offered
  • +13
    Consulting services
  • +14
    Managed Services
  • +9
    Customer Support
  • +11
    Other Support Services
  • +8
    Product Demos
  • +10
    Sales Support
  • +7
    Software Requirement Specification (SRS)
Weaknesses
  • -7
    Breadth and Depth of Product Offerings
  • -8
    Product Features and Functionality
  • -12
    Customer Feedback
  • -11
    Level of Support Services
  • -10
    Hosted / On-Cloud
  • -5
    Delivery - Through Partners / Third-Party Vendors
  • -7
    Remote Support
  • -13
    Per User Basis
  • -13
    Processing technique
  • -12
    Batch Integration
  • -6
    Distributed
  • -5
    Metadata Management
  • -13
    Point-to-Point
  • -8
    Location
  • -14
    Text
  • -12
    Training, Support and maintanence services
  • -5
    Other Professional Services
  • -10
    Dedicated Account Manager (DAM)
  • -8
    Technical Support
  • -9
    Data profiling
SyncSort Integrate Presence in Data Integration Software
Syncsort offers its solutions to North America, Europe, and Japan. The company has followed both organic as well as inorganic strategies. The company is strategically investing a lot of its revenue in R&D and bringing regular product upgradation. The company, recently in February 2017, released the upgrade of its famous DMX-h to simplify big data integration with Spark 2.0 and Hadoop. To gain the prominence in the flourishing APAC region, the company has also customized its product offerings for Japan and China. For instance, in August 2016, the company upgraded its DMX-h-v9 in Chinese and Japanese languages and added some value added features, such as intelligent execution, which would rapidly reduce the time-tovalue for companies implementing big data integration, streaming data access and integration for real-time analytics, and integration of data in any language in any character set. The company has also ventured into some inorganic strategies, such as acquisitions and partnerships, to gain a competitive advantage in the data integration market. It partnered with Cloudera Director to help organizations deploy DMX-h, along with Cloudera Enterprise on Microsoft Azure, Google Cloud, and Amazon Web Services (AWS). Similarly, in June 2015, the company partnered with Dell and Intel, to develop a joint solution that would be instrumental in minimizing costs, enhancing business analytics, and gaining the advantage of advanced analytics by transferring expensive workloads and associated data from the overloaded Enterprise Data Warehouses (EDW) to Hadoop.
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