Hive vs. PostgreSQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
PostgreSQL
Score 8.5 out of 10
N/A
PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
Pricing
HivePostgreSQL
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HivePostgreSQL
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
HivePostgreSQL
Considered Both Products
Hive
Chose Hive
  1. Easier to deploy
  2. Better UI/UX
  3. Easy to customize
PostgreSQL

No answer on this topic

Top Pros
Top Cons
Features
HivePostgreSQL
Project Management
Comparison of Project Management features of Product A and Product B
Hive
7.7
15 Ratings
2% above category average
PostgreSQL
-
Ratings
Task Management8.515 Ratings00 Ratings
Resource Management7.515 Ratings00 Ratings
Gantt Charts8.014 Ratings00 Ratings
Scheduling7.914 Ratings00 Ratings
Workflow Automation7.614 Ratings00 Ratings
Team Collaboration8.115 Ratings00 Ratings
Support for Agile Methodology8.312 Ratings00 Ratings
Support for Waterfall Methodology7.711 Ratings00 Ratings
Document Management7.313 Ratings00 Ratings
Email integration7.513 Ratings00 Ratings
Mobile Access6.911 Ratings00 Ratings
Timesheet Tracking7.69 Ratings00 Ratings
Change request and Case Management7.411 Ratings00 Ratings
Budget and Expense Management6.89 Ratings00 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
Hive
7.3
12 Ratings
2% below category average
PostgreSQL
-
Ratings
Quotes/estimates7.010 Ratings00 Ratings
Invoicing7.47 Ratings00 Ratings
Project & financial reporting8.010 Ratings00 Ratings
Integration with accounting software7.09 Ratings00 Ratings
Best Alternatives
HivePostgreSQL
Small Businesses
FunctionFox
FunctionFox
Score 8.3 out of 10
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Redis™*
Score 9.0 out of 10
Medium-sized Companies
Quickbase
Quickbase
Score 9.2 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
Enterprises
Quickbase
Quickbase
Score 9.2 out of 10
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Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
HivePostgreSQL
Likelihood to Recommend
8.4
(15 ratings)
8.7
(53 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(6 ratings)
Availability
-
(0 ratings)
9.0
(1 ratings)
Performance
-
(0 ratings)
7.0
(1 ratings)
Support Rating
9.4
(2 ratings)
9.3
(7 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
HivePostgreSQL
Likelihood to Recommend
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.
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PostgreSQL Global Development Group
PostgreSQL, unlike other databases, is user-friendly and uses an open-source database. Ideal for relational databases, they can be accessed when speed and efficiency are required. It enables high-availability and disaster recovery replication from instance to instance. PostgreSQL can store data in a JSON format, including hashes, keys, and values. Multi-platform compatibility is also a big selling point. We could, however, use all the DBMS’s cores. While it works well in fast environments, it can be problematic in slower ones or cause multiple master replication.
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Pros
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
PostgreSQL Global Development Group
  • The stability it offers, its speed of response and its resource management is excellent even in complex database environments and with low-resource machines.
  • The large amount of resources it has in addition to the many own and third-party tools that are compatible that make productivity greatly increase.
  • The adaptability in various environments, whether distributed or not, [is a] complete set of configuration options which allows to greatly customize the work configuration according to the needs that are required.
  • The excellent handling of referential and transactional integrity, its internal security scheme, the ease with which we can create backups are some of the strengths that can be mentioned.
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Cons
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?
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PostgreSQL Global Development Group
  • The query syntax for JSON fields is unwieldy when you start getting into complex queries with many joins.
  • I wish there was a distinction (a flag) you could set for automated scripts vs working in the psql CLI, which would provide an 'Are you sure you want to do X?' type prompt if your query is likely to affect more than a certain number of rows. Especially on updates/deletes. Setting the flag in the headless(scripted) flow would disable the prompt.
  • Better documentation around JSON and Array aggregation, with more examples of how the data is transformed.
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Likelihood to Renew
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
As a needed software for day to day development activities
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Usability
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
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Reliability and Availability
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
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Performance
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
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Support Rating
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.
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PostgreSQL Global Development Group
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
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Online Training
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
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Implementation Rating
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
The online documentation of the PostgreSQL product is elaborate and takes users step by step.
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Alternatives Considered
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.
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PostgreSQL Global Development Group
Postgres stacks up just [fine] along the other big players in the RDBMS world. It's very popular for a reason. It's very close to MySQL in terms of cost and features - I'd pick either solution and be just as happy. Compared to Oracle it is a MUCH cheaper solution that is just as usable.
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Scalability
Hive Technology
No answers on this topic
PostgreSQL Global Development Group
The DB is reliable, scalable, easy to use and resolves most DB needs
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Return on Investment
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.
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PostgreSQL Global Development Group
  • The user-role system has saved us tons of time and thus money. As I mentioned in the "Use Case" section, Postgres is not only used by engineering but also finance to measure how much to charge customers and customer support to debug customer issues. Sure, it's not easy for non-technical employees to psql in and view raw tables, but it has saved engineering hundreds of man-hours that would have had to be spent on building equivalent tools to serve finance or customer support.
  • It provides incredibly trustworthy storage for wherever customer data dumped in. In our 6 years of Postgres existence, we have not lost a byte of customer data due to Postgres messing up a transaction or during the multiple times the hard-drives failed (thanks to ACID compliance!).
  • This is less significant, but Postgres is also quite easy to manage (unless you are going above and beyond to squeeze out every last bit of performance). There's not much to configure, and the out of the box settings are quite sane. That has saved us engineers lots of time that would have gone into Postgres administration.
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ScreenShots

Hive Screenshots

Screenshot of HIver Technology