MongoDB vs. PostgreSQL vs. Toad Database Developer Tools

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

Incentivized

PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.

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Toad for Oracle is very well suited for all Oracle implementations, be it single instance or RAC. It is best suited for use of Oracle DBA, Developer and Database Engineers. I don't recommend Toad for Oracle for Project Managers or Solution Architects. This can be a pricier choice for these people. They can do fine with free options like SQL Developer.

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• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

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• It works well with external data sources and runs on platforms with stable performance.
• Clients can rest assured that their personal information will be safe and secure.
• Many forums discuss setup and usage, and most are free.
• Adding tooling applications to a computer is unlimited.
• PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.

• Toad is a de-facto standard tool for data developers and analysts. Generally speaking it provides almost every function needed to manage data in EDW with great performance and stability.
• The nature of clinical data is big-sized: one table may have billions of rows. Toad provides critical functions to manage SQLs, e.g. Top SQL that can monitor and manage SQLs using CPU power and network bandwidth, so that EDW administrator can optimize ETL operations in the best efficiency.
• Many of our data analysts are not computer science backgrounded (having clinical / nursing background). Toad provides great auditing tools such as Tuning Lab or SQL Scanner, so that data analysts can train themselves with guidance of the tool.

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• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

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• Clearer indications on what is the query plan, to optimize the query
• More out of the box, Postgres specific, SQL functions
• It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used

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• The power and control it gives is at the same time kind of a negative thing. There's too many options available, even when you don't need them. For simple database operations it's sometimes easier to just use SQL Developer since navigation is way more intuitive and easy.
• Related with the above: there is a steep learning curve. However, since this is the main tool for any Oracle developer, this is not that much of a problem.
• If I remember well, Toad used to be free, some 20 years ago. Or at least had a free version. It would be nice to have a free version. The dedicated Oracle developers and DBA's won't use the free version, but all the rest of us developers might use it instead of SQL Developer. It would make communications between everybody somewhat easier.

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I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

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As a needed software for day to day development activities

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It is the preferred tool for our organization.

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NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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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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I give is an 8 because nothing is a 10 and there is always room for improvement. I believe the user who is not as technologically inclined would be better suited with an easier way to identify the options for setting the layout up for Toad's GUI. To some it is very cumbersome and confusing.

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PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.

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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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Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

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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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I give the overall support for Toad for Oracle a 10/10. This is because whenever there has been an issue with this software, our team has got an immediate response. The same can not be said for similar software. The most recent example of this is when we needed to renew our licenses. Some employees were unable to log in to code with the given license key. Support was able to resolve the issue quickly.

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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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While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

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The online documentation of the PostgreSQL product is elaborate and takes users step by step.

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We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.

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Toad is much better than Tableau query writer. Tableau is not intuitive and requires knowledge of proprietary database language to fully implement. Tableau does not perform as quickly and accurately as Toad. Toad is very easy and slim to install. Additional hardware is often required to run Tableau smoothly. Support for Tableau is even more expensive than Toad support.

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The DB is reliable, scalable, easy to use and resolves most DB needs

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• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB

• Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
• Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
• It's free. You can't beat that.

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• Quick and easy query development helps reduce man-hours in a project which converts to real dollars.
• Query analysis and tuning result in low database overhead and low latency, thus translating into real dollars because a system can thus handle more requests from customers.
• Ease of use makes it easy to deploy greenhorns in projects with minimal training, thus helping save money. Otherwise menial and simple jobs would have required experienced DBAs.

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