Platfora vs Greenplum HD

Struggling to choose between Platfora and Greenplum HD? Both products offer unique advantages, making it a tough decision.

Platfora is a Ai Tools & Services solution with tags like big-data, analytics, visualization, exploration.

It boasts features such as Visual analysis of large datasets, Ad-hoc querying, Data discovery, Data visualization, Collaboration tools and pros including Intuitive visual interface, Fast querying of large datasets, Easy data exploration, Integrates with Hadoop ecosystem, Can handle variety of data formats.

On the other hand, Greenplum HD is a Ai Tools & Services product tagged with analytics, big-data, postgresql, parallel-processing.

Its standout features include Massively parallel processing (MPP) architecture, Column-oriented storage, In-database analytics, In-database Python programming, SQL support, Hadoop integration, Cloud-native deployment, and it shines with pros like Fast query performance on large datasets, Scales to petabyte-scale data volumes, Flexible deployment options - on-prem or cloud, Opensource and free to use, Supports standard SQL, Integrates with Hadoop ecosystem.

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.

Platfora

Platfora

Platfora is a big data analytics software that specializes in interactive visual analysis of large datasets. It allows users to visualize and explore big data to gain actionable insights.

Categories:
big-data analytics visualization exploration

Platfora Features

  1. Visual analysis of large datasets
  2. Ad-hoc querying
  3. Data discovery
  4. Data visualization
  5. Collaboration tools

Pricing

  • Subscription-Based

Pros

Intuitive visual interface

Fast querying of large datasets

Easy data exploration

Integrates with Hadoop ecosystem

Can handle variety of data formats

Cons

Limited advanced analytics capabilities

Steep learning curve

Requires Hadoop infrastructure

Not ideal for non-technical users


Greenplum HD

Greenplum HD

Greenplum HD is an open-source data analytics platform that enables fast processing of big data workloads. It is based on PostgreSQL and provides massively parallel processing capabilities for analytics queries across large data volumes.

Categories:
analytics big-data postgresql parallel-processing

Greenplum HD Features

  1. Massively parallel processing (MPP) architecture
  2. Column-oriented storage
  3. In-database analytics
  4. In-database Python programming
  5. SQL support
  6. Hadoop integration
  7. Cloud-native deployment

Pricing

  • Open Source
  • Free

Pros

Fast query performance on large datasets

Scales to petabyte-scale data volumes

Flexible deployment options - on-prem or cloud

Opensource and free to use

Supports standard SQL

Integrates with Hadoop ecosystem

Cons

Complex installation and configuration

Requires expertise to tune and optimize

Limited ecosystem compared to commercial options

Not fully managed like cloud data warehouses