Apache Drill vs. PostgreSQL

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
PostgreSQL
Score 8.6 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
Apache DrillPostgreSQL
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DrillPostgreSQL
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Apache DrillPostgreSQL
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
InfluxDB
InfluxDB
Score 8.6 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
SQLite
SQLite
Score 9.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
SQLite
SQLite
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DrillPostgreSQL
Likelihood to Recommend
8.0
(1 ratings)
8.8
(53 ratings)
Likelihood to Renew
7.0
(1 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
-
(0 ratings)
9.3
(7 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Apache DrillPostgreSQL
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.
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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
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
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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
Apache
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
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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
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
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PostgreSQL Global Development Group
As a needed software for day to day development activities
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Usability
Apache
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
Apache
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
Apache
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
Apache
No answers on this topic
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
Apache
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
Apache
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
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
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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
Apache
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
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).
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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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