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Apache Hive VS SigmaPlot

Compare Apache Hive VS SigmaPlot and see what are their differences

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Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

SigmaPlot logo SigmaPlot

SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface for all your statistical analysis and graphing needs that takes you beyond simple spreadsheets and helps you to produce high-quality graphs without …
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • SigmaPlot Landing page
    Landing page //
    2022-12-13

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

SigmaPlot features and specs

  • Advanced Graphical Capabilities
    SigmaPlot offers a wide range of graph types and advanced plotting features, allowing for detailed and highly customized visual representation of data.
  • Data Analysis Tools
    The software includes robust data analysis tools, such as curve fitting and regression analysis, that help in extracting meaningful insights from data sets.
  • Integration with Microsoft Office
    SigmaPlot seamlessly integrates with Microsoft Office, making it easy to incorporate graphs and data into presentations and documents.
  • User-friendly Interface
    It features a user-friendly interface that is relatively easy to navigate, which can help users, especially beginners, to work efficiently.
  • Template and Customization Options
    The program offers various templates and customization options for creating consistent and professional-looking graphs.

Possible disadvantages of SigmaPlot

  • Cost
    SigmaPlot is a premium software, which could be quite expensive for individuals and small organizations with limited budgets.
  • Steep Learning Curve
    Despite being user-friendly, mastering all the advanced features and capabilities of SigmaPlot can take considerable time and effort.
  • Limited Platform Support
    Primarily available for Windows, limiting its use for individuals and organizations using other operating systems like macOS and Linux.
  • Lack of Collaboration Features
    The software does not offer built-in collaboration tools, potentially making it challenging for teams to work together efficiently on data projects.
  • Resource Intensive
    Running SigmaPlot can be resource-intensive, which might pose challenges on lower-spec devices, affecting performance and productivity.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

SigmaPlot videos

+ Add

SigmaPlot 12 Overview Presentation with Richard Mitchell / Systat Software

More videos:

  • Review - Performing a one-way ANOVA in SigmaPlot 13
  • Demo - SigmaPlot quick demo

Category Popularity

0-100% (relative to Apache Hive and SigmaPlot)

Apache Hive

SigmaPlot

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Hive seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Hive mentions (8)

View more

SigmaPlot mentions (0)

We have not tracked any mentions of SigmaPlot yet. Tracking of SigmaPlot recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Hive and SigmaPlot, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

OriginLab - OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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