INFORMATICA Data Fabric Software

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INFORMATICA CORPORATION
Online
California, USA
1993
$1BN to $5BN
Enterprise
92 Likes
64 Buyers are Negotiating "Group Buyer Deal"

INFORMATICA CORPORATION USP

Informatica is a leading player in providing data fabric solutions and services. The company majorly focuses on gathering relevant data, based on company preferences, from the raw data obtained from various data sources, including IoT devices and embedded applications and providing the data management through its data fabric service. The company also emphasizes on increasing its subscription revenue growth as compared to the other revenue growths. Informatica's Content Management Service handles the configuration information for address reference data. It also manages the list of the population files on the node. Request INFORMATICA CORPORATION Pricing to get more information.

Summary

Informatica has developed an Informatica Platform which helps the clients in increasing the productivity of their developers owing to the visual and metadata driven development environment.The big data fabric solution is being used by various enterprises to provide enterprise data lakes for real-time analytics, integrated analytics, IoT, real-time operational intelligence such as proactive customer engagement and fraud detection. Subsequently, it also allows the reuse of workflow pipelines to support other infrastructures. The big data fabric solution is being used by various enterprises to deliver enterprise data lakes for real-time analytics, integrated analytics, IoT, real-time operational intelligence such as proactive customer engagement and fraud detection.

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“I am looking for a Data Fabric Software in north America. My budget is $50,000. Looking to buy in 15 days.”
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INFORMATICA CORPORATION
64 Buyers Negotiating
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Strengths
  • +6
    Self-service Capabilities
  • +6
    Real-Time Streaming Data Processing (Data-in-Motion)
  • +11
    Unstructured Data
  • +5
    Batch Data Processing
  • +10
    Semi-Structured Data
  • +8
    Directly
  • +8
    Data Governance
  • +12
    In-Memory Data Access
  • +7
    Customer Service
  • +12
    Finance
  • +13
    Human Resources (HR)
  • +11
    Marketing
  • +8
    On-Site Support
  • +14
    Operations/Production
  • +5
    Product Development
  • +10
    Sales
  • +6
    Supply Chain
  • +5
    Breadth and Depth of Product Offerings
  • +8
    Business Applications
  • +5
    Business Process Management
Weaknesses
  • -14
    Specify Others
  • -12
    Licenses
  • -9
    Solutions Offered
  • -6
    Customer Redressal Mechanism/Program
  • -6
    Product Features and Functionality
  • -9
    Support and Services
  • -7
    Metadata Management
  • -5
    Level of Support
  • -11
    Data Virtualization
  • -13
    Distributed Computing
  • -9
    Remote Support
  • -7
    Other Cases
  • -7
    Per User Basis
  • -12
    Apache Kafka
  • -5
    Apache Ranger
  • -11
    Apache Spark
  • -14
    Apache Storm
  • -9
    Data Lineage
  • -10
    Data Orchestration
  • -13
    Data Transformation
INFORMATICA CORPORATION Presence in Data Fabric Software
Informatica caters to various business verticals, including energy and utilities, financial services, manufacturing, public sector, retail, entertainment and media, telecommunications, healthcare, technology, automotive, and travel and transportation. The company has adopted different strategies to strengthen its position in the data fabric market by serving its clients through Informatica Platform. The company has mainly embraced organic strategies to strengthen its product portfolio and geographical reach. Recently, in May 2016, Informatica launched a Marketing Data Lake particularly accessing the marketing information for marketers. It works as a bridge between IT and businesses by allowing access data centrally. Furthermore, in 2015, the company launched a new integrated platform, Informatica Big Data Management. It provides single integrated solutions by combining big data quality, big data integration, big data security, and big data governance. It helps in solving data management challenges.
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