I know about SSRS, SSAS, in-memory column stores and so on, but I haven't mentioned them because I don't use them (or equivalent features). A proper UNIX-like OS is not just a nice command line – it is an ecosystem of programs, utilities, functionality and support that makes getting real work done efficient and enjoyable. Each of these things, in isolation, may seem like a relatively minor niggle; however, the overall effect is that getting real work done in MS SQL Server is significantly harder and more error-prone than in PostgreSQL, and data analysts spend valuable time and energy on workarounds and manual processes instead of focusing on the actual problem. I am comparing the two databases from the point of view of a data analyst. With a little work and careful selection of options, it is even possible to make a DDL-only plain SQL PostgreSQL backup executable in a different RDBMS. The Sophos Community is a platform for users to connect and engage on everything Sophos-related. They are fundamental concepts in literally every human-readable data serialisation specification. (It is actually possible to make MS SQL Server do a deterministic string concatenation aggregation in pure SQL but you have to abuse the RECURSIVE query functionality to do it. Dapper has no DB specific implementation details, it works across all .NET ADO providers including SQLite, SQL CE, Firebird, Oracle, MySQL, PostgreSQL and SQL Server. You can easily set the logging level anywhere from "don't bother logging anything" to "full profiling and debugging output". put the array into both the keys and values of an HSTORE, forcing a dedupe to take place (since key values are unique) then retrieve the keys from the HSTORE. Most people don't believe me when I tell them this. This allows a database user to write imperative-style code for more complex or fiddly tasks. Right-click the Security folder, point to New, and select Schema. When an error occurs, they give helpful error messages. Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.. Visit Stack Exchange PostgreSQL's dump utility is extremely flexible, command-line driven (making it easily automatable and scriptable) and well-documented (like the rest of PostgreSQL). Over the years I have discussed the issue of PostgreSQL vs. MS SQL Server many, many times. In theory the logs can be truncated or deleted but the documentation is full of dire warnings against such action. MS SQL Server, on the other hand, makes it absurdly difficult. It lets you jump around in the file system and use ultra-powerful text editors like vim inline. Therefore its environment matters. In any case, the argument about speed is never only about computer time; it is about developer time too. cross-function call) state, allowing the user to selectively cache data in RAM for fast random access. Also, needless to say, "the author of PostgreSQL" is as meaningless as "the author of MS SQL Server". PL/Python: you can use full Python in PostgreSQL. This misconception is a variant of the old adage "no-one ever got fired for buying IBM". It's prettier. In PostgreSQL it is trivially easy to create functions which execute compiled, optimised C (or C++ or assembler) in the database backend. You'd rather stick with a clumsy, awkward, unreliable system than spend the trivial amount of effort it takes to learn a slightly different dialect of a straightforward querying language? I and my colleagues freely move code and database dumps between them. A backup can be of a single table or of a whole database cluster. Would you prefer to spend an hour writing maintainable, elegant SQL followed by an hour of runtime, or spend three days writing buggy, desperate workarounds followed by 45 minutes of runtime? And I have more than once seen MS SQL Server paralyse itself by letting transaction log files blow up, something PostgreSQL does not do. 3. como restar 2 campos en SQL. Expand the database in which to create the new database schema. But everyone knows that regex operations can be very computationally expensive, and in any case, what was PostgreSQL being compared to? Before this moment millions of applications will need to either adopt a new convention for time stamps or be migrated to 64-bit systems which will buy the time stamp a "bit" more time. This means that writing utilities which plug into PostgreSQL is very easy and convenient, which makes the database more versatile and a better fit in an analytics stack. Go on, try it. This is a reliable source of annoying, time-wasting errors. This advantage goes away when a server has to do many things at once (as is almost always the case). The community benefits from high-quality free software, and individuals with the appropriate skills do what they can to contribute. Since the best way to minimise risk is to get the job done right, the best tool to use is the one which is most likely to let you accomplish that. Every data analytics platform worth mentioning is Turing complete, which means, give or take, that any one of them can do anything that any other one can do. Also, as the saying goes, time is money. With a closed-source product, you can't fix it yourself – you just raise a bug report, cross your fingers and wait. Its supporting IT infrastructure, the Worldwide LHC Computing Grid, is the world's largest computing grid. It handles 30 PB of data per year and spans 36 countries and over 170 computing centres. Visit a Community group to start a discussion, ask/answer a question, subscribe to a blog, and interact with other Community members.. I know it's not scientifically rigorous to do a comparison like this when I don't have equal experience with both databases, but this is not an academic exercise – it's a real-world comparison. which is slightly relevant but more so just a great watch. Stuff like this: No it doesn't. They can take the special values infinity and -infinity. Any of these procedural languages can be used for writing stored procedures and functions or simply dumped into a block of code to be executed inline. (Tragic side-note: I have seen large organisations spend tens of thousands of pounds over weeks of work trying to achieve the same thing using poorer tools.). They do not support interval types, so date arithmetic is tedious and clunky. Even the primary key's index is a "secondary index". It's not a character set, it's not a code page, it's not a file format and it's nothing whatsoever to do with encryption. This means your code is in two separate places and you have to go through a sequence of GUI-based manual steps to alter it. Inserting some Python code inline in your database query is easy and convenient; firing up Visual Studio, managing projects and throwing DLL files around (all in GUI-based processes which cannot be properly scripted, version-controlled, automated or reviewed) is awkward, error-prone and non-scalable. The COPY TO and COPY FROM commands support the spec outlined in RFC4180 (which is the closest thing there is to an official CSV standard) as well as a multitude of common and not-so-common variants and dialects. Oops, spoiler alert. my client want server side pagination for grids(10 records per page) and sorting too. MS SQL Server has an XML data type too, and offers plenty of support for working with it. PostgreSQL supports DROP TABLE IF EXISTS, which is the smart and obvious way of saying "if this table doesn't exist, do nothing, but if it does, get rid of it". You can modify it in whatever way you see fit, and then you can distribute the modifications to whomever you like. Every database programmer has seen fields called start_date and end_date, and most of them have had to implement logic to detect overlaps. I have been doing this for about a decade. Suffice it to say that, for real IT work, Linux (and the UNIX-like family: Solaris, BSD etc.) It involves immense downloads (who still uses physical install media?) Well, I guess I'm feeling generous: This is an advantage for MS SQL Server whenever you're running a query which is CPU-bound and not IO-bound. A database which can be broken by putting the wrong data in it is as useless as a router that breaks if you download the wrong file. There's that PostgreSQL versatility again. If you are an advanced programmer and really want to get stuck in, you can also simply read PostgreSQL's source code, all of which is openly and freely available. For text which mostly fits into ASCII, UTF-8 is about twice as space-efficient as UTF-16. If you choose to use SQLite, download and install a third-party tool for managing and viewing a SQLite database, such as DB Browser for SQLite. • For certain operations, PostgreSQL is definitely slower than MS SQL Server – the easiest example is probably COUNT(*), which is (I think) always instant in MS SQL Server and in PostgreSQL requires a full table scan (this is due to the different concurrency models they use). MS SQL Server: no support for range types. tabular) data around. Like this: PostgreSQL can't do this. On many occasions I have knocked up a quick program in C or C++ which connects to PostgreSQL, pulls some data out and does some heavy calculations on it, e.g. PostgreSQL: arrays are supported as a first-class data type, meaning fields in tables, variables in PL/PGSQL, parameters to functions and so on can be arrays. If you open up your code and others use it, then you have just gained a completely free source of bug fixes, feature contributions, code review, product testing and publicity. Xpath querying is supported. There is at least one key difference, though: PostgreSQL's source code is openly available and is therefore reviewed, tweaked, contributed to, improved and understood by a huge community of skilled programmers. This is good for them, because it safeguards their revenue. It works exactly as designed; the problem is that the design is terrible. If you destroy your reputation by buggering up an important job, your software vendor will not build you a new reputation. Your IP: I hope you appreciate the technical content even if you don't like the way I write; if my tone makes this document unreadable for you, then I guess I've lost a reader and you've lost a web page. Server and Networking Emulation and virtualization Section for questions regarding all sorts of emulation and virtualization, like bhyve, VirtualBox, qemu and jails. Of course, these extensions are trivially easy to install. Ergo, a billion people most certainly can be wrong. Spelling mistakes are common, and most people are used to software indicating if a mistake was made. VARCHAR and TEXT types are, by default, UTF-8, meaning they will only accept UTF-8 data and all the transformations applied to them, from string concatenation and searching to regular expressions, are UTF-8-aware. UTF-8 and UTF-16 are not compatible. Naturally, determining this is trivially easy in PostgreSQL – in fact, the most time-consuming bit is creating a table with 50 columns to hold the data. As a case in point, here I am spending my free time writing a web page about how fabulous PostgreSQL is and then paying my own money to host it. At its heart, the development model of PostgreSQL is just like the development model of MS SQL Server: a large team of programmers is paid by an organisation to write code. Long gone are the days when ASCII was universal, "character" and "byte" were fungible terms and "foreign" (from an Anglocentric standpoint) text was an exotic exception. Notice that the aggregate accepts an ORDER BY clause (since, unlike SUM, MAX and MIN, this aggregate is order-dependent) and PostgreSQL provides operators for extracting values from JSON objects. I work as a data analyst in a global professional services firm (one you have certainly heard of). A data analytics tool without regex support is like a bicycle without a saddle – you can still use it, but it's painful. server side pagination was easy to … At best, this results in corrupted data. Apologists for MS are quick to point out that this is unlikely because it would require the data to contain something outside Unicode's basic multilingual plane. PostgreSQL simply doesn't implement this feature. There is no such thing as "you can do X in software A but you can't do X in software B". PL/V8: the V8 JavaScript engine from Google Chrome is available in PostgreSQL. So, if they play nice for the next few years and their magnanimous gesture ushers in a new era of interoperability, productivity and harmony, I (and millions of developers who want to get on with creating great things instead of bickering over platforms and standards) will be over the moon. The OOXML standard that was finally pushed through is immense, bloated, ambiguous, inconsistent and riddled with errors. It's slicker, sure. It can't touch the feature set of PostgreSQL's type system and it is beset with traps waiting to ensnare the unwary user. I am not a sql server specialist but i do have question rather a challenge for you. I frequently come into contact with people who know very little about these things – although some of them don't realise it. A more accurate rephrasing would be "MS SQL Server is slightly more forgiving if you don't know what you're doing". I promise I did not touch the Wikipedia article, I simply found it like that. Now, this is not a Linux vs. Windows document, although I'm sure I'll end up writing one of those at some point. 1. 3.2 million answers were submitted. interest rate modifications depending on debit/credit balance, detection of exceptional circumstances), it's all right there in the transition function and is written in an appropriate language for implementing complex logic. You need to replace that with N'V' to drop a view. Something like this: Here's how you have to do it in MS SQL Server: Yes, it's only one extra line of code, but notice the mysterious second parameter to the OBJECT_ID function. (Example: the other day I was looking through a friend's film collection and he said he thought the total number of files in the file system was high, considering how many films he had, and he wondered if maybe he had accidentally copied a large folder structure into one of his film folders. If you take one file of each type and concatenate them, you (probably) end up with a file which is neither valid UTF-8 nor valid UTF-16. PostgreSQL is slow out-of-the box because its default configuration uses only a tiny amount of system resources – but any system being used for serious work has been tuned properly, so raw out-of-the-box performance is not a worthwhile thing to argue about. People actually say this too. It took 16 seconds. I have spent that decade dealing with data, database software, database hardware, database users, database programmers and data analysis methods, so I know a fair bit about these things. Commercial products have support from people who support it because they are paid to. PostgreSQL's logs, by default, are all in one place. It has loads of useful catalog-querying features. You can even apply specially-developed indices to them to, (Oh, and if the pre-defined types don't meet your needs, you can define your own ones. No chance", so maybe he just likes to talk nonsense). Sometimes these problems cause a late night or a lost weekend for the user; sometimes they cause missed deadlines and angry clients; sometimes it goes as far as legal and reputational risk. As I said in the banner and the intro, I am comparing these databases from the point of view of a data analyst, because I'm a data analyst and I use them for data analysis. Most importantly, the documentation is a confusing, tangled mess, which makes getting this done unnecessarily time-consuming and painful. Remember the almighty ruckus when the Office Open XML standard was being created? (Update: a couple of days after I published this, Microsoft made me look like a prat by announcing that it was open-sourcing .NET. How is PostgreSQL going to win this one? This will be a familiar story to many of the users of PostgreSQL, and indeed any large piece of open source software. In 2015, 2.7 million questions were asked on Stack Overflow. and lengthy, important-sounding processes with stately progress bars. In client-serving data analytics, you just have to get it right. It allows performing CRUD operations without having to write SQL queries. I did a recursive count of files-per-folder for him like this: The whole thing took about a minute to write and a second to run. That's one of the reasons why it's so much better. I do know that a lot of production MS SQL Server boxes in certain organisations are still on version 2008 R2 though... As if the enormous feature set of PostgreSQL is not enough, it comes with a set of extensions called contrib modules. 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