apatar vs IBM InfoSphere BigInsights

Struggling to choose between apatar and IBM InfoSphere BigInsights? Both products offer unique advantages, making it a tough decision.

apatar is a Business & Commerce solution with tags like etl, data-transformation, data-integration, open-source.

It boasts features such as Graphical interface for building data workflows, Connectors for various data sources and targets like databases, cloud apps, files, Data transformation components like join, filter, aggregate, script, etc, Scheduling and automation capabilities, Data profiling and preview, Version control and sharing of data integration workflows and pros including Intuitive visual interface, Large library of pre-built connectors, Active open source community support, Cross-platform (Windows, Linux, Mac), Free and open source.

On the other hand, IBM InfoSphere BigInsights is a Ai Tools & Services product tagged with hadoop, big-data, analytics, unstructured-data.

Its standout features include Distributed processing of large data sets across clusters using Hadoop MapReduce, Supports variety of data sources like HDFS, HBase, Hive, text files, Web console for managing Hadoop clusters and jobs, Text analytics and natural language processing tools, Connectors for integrating with SQL and NoSQL databases, Enterprise security features like Kerberos authentication, Analytics tools like BigSheets and Big SQL, and it shines with pros like Scalable and flexible for analyzing large volumes of data, Supports real-time analysis with HBase integration, Simplified Hadoop management through web UI, Advanced analytics capabilities beyond just MapReduce, Integrates with existing data sources and BI tools, Mature enterprise software backed by IBM support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

apatar

apatar

Apatar is an open-source ETL (extract, transform, load) tool used for data integration. It allows connecting to various data sources, transforming data, and loading it into target systems.

Categories:
etl data-transformation data-integration open-source

Apatar Features

  1. Graphical interface for building data workflows
  2. Connectors for various data sources and targets like databases, cloud apps, files
  3. Data transformation components like join, filter, aggregate, script, etc
  4. Scheduling and automation capabilities
  5. Data profiling and preview
  6. Version control and sharing of data integration workflows

Pricing

  • Open Source
  • Freemium

Pros

Intuitive visual interface

Large library of pre-built connectors

Active open source community support

Cross-platform (Windows, Linux, Mac)

Free and open source

Cons

Limited transformation capabilities compared to enterprise ETL tools

Not ideal for large data volumes or complex data pipelines

Limited job monitoring and management features

Minimal technical support


IBM InfoSphere BigInsights

IBM InfoSphere BigInsights

IBM InfoSphere BigInsights is a Hadoop-based software platform for analyzing large volumes of structured and unstructured data. It facilitates managing and analyzing Big Data.

Categories:
hadoop big-data analytics unstructured-data

IBM InfoSphere BigInsights Features

  1. Distributed processing of large data sets across clusters using Hadoop MapReduce
  2. Supports variety of data sources like HDFS, HBase, Hive, text files
  3. Web console for managing Hadoop clusters and jobs
  4. Text analytics and natural language processing tools
  5. Connectors for integrating with SQL and NoSQL databases
  6. Enterprise security features like Kerberos authentication
  7. Analytics tools like BigSheets and Big SQL

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Scalable and flexible for analyzing large volumes of data

Supports real-time analysis with HBase integration

Simplified Hadoop management through web UI

Advanced analytics capabilities beyond just MapReduce

Integrates with existing data sources and BI tools

Mature enterprise software backed by IBM support

Cons

Can be complex to configure and manage

Requires expertise in MapReduce and Hadoop

Not fully open source unlike Hadoop

Can be expensive compared to open source Big Data platforms

Steep learning curve for developers new to Hadoop