What users are saying about
109 Ratings
4 Ratings
109 Ratings
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Score 8.4 out of 101
4 Ratings
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Score 8.4 out of 101

Likelihood to Recommend

Apache Spark

Spark is great as a workflow process and extract transform layer process tool. Is really good for machine learning especially for large datasets that can be processed in split file paralallelization. Spark streaming is scalable for close to real-time data workflow process.what it's not good for, is smaller subset of data processing.
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Hive

I would say the best area where Hive can and should be implemented is in the time and project tracking systems. What I would not use Hive for is invoice tracking or financial information as pertains to the business. Also, using Hive in replacement for an external messaging system similar to Slack is not advisable. The app and the messenger feature are just not there yet.
John Bianchi profile photo

Feature Rating Comparison

Project Management

Apache Spark
Hive
6.5
Task Management
Apache Spark
Hive
8.3
Resource Management
Apache Spark
Hive
7.0
Gantt Charts
Apache Spark
Hive
7.0
Scheduling
Apache Spark
Hive
8.5
Workflow Automation
Apache Spark
Hive
7.0
Team Collaboration
Apache Spark
Hive
8.3
Support for Agile Methodology
Apache Spark
Hive
8.0
Support for Waterfall Methodology
Apache Spark
Hive
7.0
Document Management
Apache Spark
Hive
8.0
Email integration
Apache Spark
Hive
3.5
Mobile Access
Apache Spark
Hive
4.0
Timesheet Tracking
Apache Spark
Hive
4.0
Change request and Case Management
Apache Spark
Hive
4.0
Budget and Expense Management
Apache Spark
Hive
7.0

Professional Services Automation

Apache Spark
Hive
3.3
Quotes/estimates
Apache Spark
Hive
4.0
Invoicing
Apache Spark
Hive
3.0
Project & financial reporting
Apache Spark
Hive
3.0
Integration with accounting software
Apache Spark
Hive
3.0

Pros

Apache Spark

  • It is very fast.
  • It is gaining usability now that the PySpark community is growing and more functions are being developed.
  • Programmers can run different languages on the servers.
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Hive

  • Time tracking.
  • Project flow tracking.
  • Information integration.
John Bianchi profile photo

Cons

Apache Spark

  • Debugging is difficult as it is new for most people
  • There are fewer learning resources
Kartik Chavan profile photo

Hive

  • The Hive chat.
  • Billing transparency.
  • Ticket and Software adjustments including the Hive App.
John Bianchi profile photo

Alternatives Considered

Apache Spark

Apache Pig and Apache Hive provide most of the things spark provide but apache spark has more features like actions and transformations which are easy to code. Spark uses optimization technique as we can select driver program and manipulate DAG (Directed Acyclic Graph)Python can be used even for data transformations but it requires lot of coding compared to Spark and it is even so slow.
Kamesh Emani profile photo

Hive

I would say that in comparison to Asana, Hive is a better interface an UI. I think Asana is more robust in terms of what it can do in conjunction with Confluence but I think Hive is a better entry-level model for new employees. Hive is much simpler and more straight forward and its integration with Slack is preferred.
John Bianchi profile photo

Return on Investment

Apache Spark

  • By learning Spark, we can become certified and/or provide proper recommendations or implementations on Spark solutions.
  • With a background in Hadoop distributed processes, it has been easy to understand and diagnose how Spark handles the transfer of data within a cluster. Especially when using YARN as the resource manager and HDFS as the data source.
  • Staying up to date with the latest changes to Spark has become a repetitive task. While most Hadoop distributions only support Spark 1.6 at the moment, Spark 2.0 has introduced some useful features, but those require a re-write of existing applications.
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Hive

  • Workflow Management will help you better move your projects along which saves time and money.
  • Time tracking will allow you to better manage the hours and keep your contractors accountable.
  • Overall visibility of projects allow you to keep your margins down and combat "bleeding" and hidden costs or surprises.
John Bianchi profile photo

Pricing Details

Apache Spark

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Hive

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

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