Apache Drill vs. Hive

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Drill
Score 8.1 out of 10
N/A
Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.N/A
Hive
Score 8.4 out of 10
N/A
Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$12
per month per user
Pricing
Apache DrillHive
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DrillHive
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache DrillHive
Project Management
Comparison of Project Management features of Product A and Product B
Apache Drill
-
Ratings
Hive
7.5
14 Ratings
0% above category average
Task Management00 Ratings8.314 Ratings
Resource Management00 Ratings7.314 Ratings
Gantt Charts00 Ratings7.713 Ratings
Scheduling00 Ratings7.913 Ratings
Workflow Automation00 Ratings7.513 Ratings
Team Collaboration00 Ratings8.014 Ratings
Support for Agile Methodology00 Ratings8.411 Ratings
Support for Waterfall Methodology00 Ratings7.610 Ratings
Document Management00 Ratings7.112 Ratings
Email integration00 Ratings7.412 Ratings
Mobile Access00 Ratings7.010 Ratings
Timesheet Tracking00 Ratings7.48 Ratings
Change request and Case Management00 Ratings7.010 Ratings
Budget and Expense Management00 Ratings6.68 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
Apache Drill
-
Ratings
Hive
7.2
11 Ratings
2% below category average
Quotes/estimates00 Ratings6.99 Ratings
Invoicing00 Ratings7.26 Ratings
Project & financial reporting00 Ratings7.89 Ratings
Integration with accounting software00 Ratings6.88 Ratings
Best Alternatives
Apache DrillHive
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Stackby
Stackby
Score 9.6 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
SAP Ruum
SAP Ruum
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Quickbase
Quickbase
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DrillHive
Likelihood to Recommend
8.0
(1 ratings)
8.4
(14 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
9.4
(2 ratings)
User Testimonials
Apache DrillHive
Likelihood to Recommend
Apache
if you're doing joins from hBASE, hdfs, cassandra and redis, then this works. Using it as a be all end all does not suit it. This is not your straight forward magic software that works for all scenarios. One needs to determine the use case to see if Apache Drill fits the needs. 3/4 of the time, usually it does.
Read full review
Hive Technology
Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.
Read full review
Pros
Apache
  • queries multiple data sources with ease.
  • supports sql, so non technical users who know sql, can run query sets
  • 3rd party tools, like tableau, zoom data and looker were able to connect with no issues
Read full review
Hive Technology
  • Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
  • Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
  • The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point
Read full review
Cons
Apache
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
Read full review
Hive Technology
  • Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
  • I don't really use any view besides task view. Is there something better I could be using?
  • It would be nice if attachments showed up in a nicer format, maybe with a preview?
Read full review
Likelihood to Renew
Apache
if Presto comes up with more support (ie hbase, s3), then its strongly possible that we'll move from apache drill to prestoDB. However, Apache drill needs more configuration ease, especially when it comes to garbage collection tuning. If apache drill could support also sparkSQL and Flume, then it does change drill into being something more valuable than prestoDB
Read full review
Hive Technology
No answers on this topic
Support Rating
Apache
No answers on this topic
Hive Technology
Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.
Read full review
Alternatives Considered
Apache
compared to presto, has more support than prestodb. Impala has limitations to what drill can support apache phoenix only supports for hbase. no support for cassandra. Apache drill was chosen, because of the multiple data stores that it supports htat the other 3 do not support. Presto does not support hbase as of yet. Impala does not support query to cassandra
Read full review
Hive Technology
Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.
Read full review
Return on Investment
Apache
  • Configuration has taken some serious time out.
  • Garbage collection tuning. is a constant hassle. time and effort applied to it, vs dedicating resources elsewhere.
  • w/ sql support, reduces the need of devs to generate the resultset for analysts, when they can run queries themselves (if they know sql).
Read full review
Hive Technology
  • 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.
Read full review
ScreenShots

Hive Screenshots

Screenshot of HIver Technology