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.
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Sequel Pro
Score 9.0 out of 10
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Sequel Pro is a relational database software solution offered by Sequel Pro.
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Pricing
PostgreSQL
Sequel Pro
Editions & Modules
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PostgreSQL
Sequel Pro
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
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Community Pulse
PostgreSQL
Sequel Pro
Considered Both Products
PostgreSQL
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Sequel Pro
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Chose Sequel Pro
The UI design of Sequel Pro is to help people whose work is not typical coding heavy but still data dependent. It stands out for its target users.
Sequel Pro has a fully functional free version which is fast and unlimited. None of the others let you get to your data as quickly and directly as Sequel Pro does. With the exception of the default tools provided by MySQL, Sequel Pro is probably the client that remains most up …
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.
It's a great tool when building the software, the ability to add SQL and No-SQL databases. Very convenient to write the queries and generate the filtered data we require. Gives the ability to export, import databases of various formats and generate reports from them. It might not be suitable if you want the data to be seen in a visualized manner
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.
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.
It crashes CONSTANTLY. If you have more than one connection tab open and close one of them, it crashes. If you just have it open in the background, it randomly crashes. If you're using it, it randomly crashes. When you try to send a crash report, the CRASH REPORTER CRASHES.
Can be a bit slow.
No way that I'm aware of to query multiple databases in the same query.
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.
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.
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.
It's open-source and very convenient to work with. I can easily import any database I want using a data dump and runt the queries on them to derive the data insights on the data. I might want to use Excel to visualize that, that might be one of the disadvantages.
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.
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.
MySQL Workbench is a wonderful tool, but the routine editing of existing data is note nearly as straightforward as it is in Sequel Pro. The ability to sort a data view with a single click makes Sequel Pro my definite choice. phpMyAdmin is pretty ubiquitous, but the routine editing of existing data is much more cumbersome than it is in Sequel Pro.
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.
