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Hydrograph

Score8 out of 10

1 Reviews and Ratings

What is Hydrograph?

Bitwise offers Hydrograph, a data integration tool with provides ETL functionality on Hadoop and Spark.

Categories & Use Cases

Top Performing Features

  • Complex transformations

    Complex data transformations are data normalization, advanced data parsing, etc.

    Category average: 7.2

  • Connecto to Big Data and NoSQL

    Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

    Category average: 7.7

  • Data model creation

    Ability to create and maintain data models using a graphical tool to define relationships between data

    Category average: 8.4

Areas for Improvement

  • Simple transformations

    Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

    Category average: 8.1

  • Collaboration

    Collaboration is enabled by a shared repository of project information and metadata

    Category average: 7.2

  • Business rules and workflow

    Ability to define and manage business rules and workflows

    Category average: 8.2

hydrograph...a complete tool

Use Cases and Deployment Scope

it helps developers to handle big data along with ease of use with graphical interface. it supports cloud that also helps a lot. when it comes to big data..hydrograph is a uniform tool to help to analyze and get grid-based logs and reports.

Pros

  • Coupling between complex model and MapReduce framework without reducer procedure was simplified.
  • The ability to reduce execution time and handle partial failure
  • The framework adapts to higherned complex model

Cons

  • Microsoft azure is recently joined in 2020 that can be improved.

Most Important Features

  • Agility
  • Cloud support.

Return on Investment

  • Their is no tangible ROI for us Management of bid data is easy.

Alternatives Considered

SnapLogic

Other Software Used

SnapLogic, Fivetran, Azure Data Factory