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). Needless to say, his advice is as good as advice gets. Incidentally, the examples in the second link are for implementing a simple string concatenation aggregate. The first kind, free as in freedom, means PostgreSQL is open-source and very permissively licensed. Remember how PostgreSQL's insistence on a single text encoding per database makes everything work smoothly? If you don't believe me, download this correctly-formatted, standards-compliant UTF-8 CSV file and use MS SQL Server to calculate the average string length (i.e. Unless otherwise stated I am referring to PostgreSQL 9.3 and MS SQL Server 2014, even though my experience with MS SQL Server is with versions 2008 R2 and 2012 – for the sake of fairness and relevance I want to compare the latest version of PostgreSQL to the latest version of MS SQL Server. At the time of writing, 485 of the top 500 supercomputers in the world run on Linux. MS SQL Server versions since 2012 have supported UTF-16 properly, if you ensure you select a UTF-16-compliant collation for your database. Data analytics is all about being a jack of all trades. It all just works. SQL database providers know this, so almost all SQL databases implement some kind of procedural language. Better late than never, I suppose. – whilst keeping the back end RDBMS in Linux. CSV is the de facto standard way of moving structured (i.e. I don't know how easy MS SQL Server is to update. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. PostgreSQL: the docs actively encourage you to simply use the TEXT type. Most people don't believe me when I tell them this. There are libraries of functions, types and utilities for doing certain useful things which don't quite fall into the core feature set of the server. PostgreSQL's CSV support is top notch. I discuss this too, here. Oops, spoiler alert. 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". officious, boring and dry. Interval values let you do intuitive date arithmetic and store time durations as first-class data values. The second kind, free as in beer, is important for two main reasons. This is as crazy as spending a fortune on Photoshop and then having to write some custom code to get it to open a JPEG, only to find that the image has been altered slightly. 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. The second reason is that because PostgreSQL is free, many developers, experimenters, hackers, students, innovators, scientists and so on (the brainy-but-poor crowd, essentially) use it, and it develops a wonderful community. D'oh. 推酷网是面向it人的个性化阅读网站，其背后的推荐引擎通过智能化的分析，向用户推荐感兴趣的科技资讯、产品设计、网络营销、技术文章等内容。推酷活动聚合互联网线上活动和线下活动,为你推荐感兴趣的圈 … These old forums are deprecated now and set to read-only. 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. I haven't learned all the different letters for all the different types of database objects (why should I have to?) 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. It's like Oracle's PL/SQL, but more modern and feature-complete. It supports all the text operations PostgreSQL is capable of: simple concatenation and substringing; regex searching, matching and splitting; full-text search; casting; character transformation; and so on. MS SQL Server: no support for range types. What happens when a developer sees NULL or 3499-12-31? It isn't implemented in the straight forward, uncomplicated way of just not doing it. The immense flexibility you get from the great procedural language support and the clever data types allows PostgreSQL-based solutions to outperform MS SQL Server-based solutions by orders of magnitude. It involves immense downloads (who still uses physical install media?) tabular) data around. 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. Try this: go to the product documentation page for MS SQL Server 2012 and try to get from there to something useful. Join 465,458 members and discuss topics such as programming, web development, mobile development, databases, cloud and more. Red Hat Enterprise Linux; CEntOS (Community Enterprise OS); SUSE Linux Enterprise Server; Oracle Linux; IBM Enterprise Linux Server etc. Some examples: Get all lines starting with a repeated digit followed by a vowel: Get the first isolated hex string occurring in a field: Break a string on whitespace and return each fragment in a separate row: Case-insensitively find all words in a string with at least 10 letters: MS SQL Server has LIKE, SUBSTRING, PATINDEX and so on, which are not comparable to proper regex support (if you doubt this, try implementing the above examples using them). (The answer you're looking for is exactly 183.895.). Microsoft no longer has the monopoly it once enjoyed on the desktop, thanks to the rise of Linux and Apple. In MS SQL Server, table creation goes like this instead: So, to execute the plain SELECT statement, you have to comment out or remove the INTO bit. This one is arguably true; it's pretty awkward. The PL/V8 procedural language works as seamlessly as you would expect with JSON – in fact, a JSON-type internal state in a custom aggregate (see. Stack Overflow en español es un sitio de preguntas y respuestas para programadores y profesionales de la informática. 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. and lengthy, important-sounding processes with stately progress bars. They won't be around for long. Excel can output to CSV (in a rare moment of sanity, Microsoft made Excel's CSV export code work properly) and PostgreSQL can import CSV. This is, There is no such facility in MS SQL Server. If you're running a bank, doing technical computation, landing spaceships on comets or simply doing something where you cannot tolerate rounding errors, you're covered. You can do anything in anything – all that varies is how hard it is. (At work I currently manage several PostgreSQL databases, some in Windows and some in Ubuntu Linux. The cumulative effect of hacks, workarounds and kludges like this is unreliable systems, unhappy programmers and increased business risk. At worst, something else in your toolchain will break badly and you'll have a disaster on your hands. This is not true. It makes intelligent use of screen space. Entity Framework Core is an ORM made by Microsoft. There are libraries for fuzzy string matching, fast integer array handling, external database connectivity, cryptography, UUID generation, tree data types and loads, loads more. Where I have made claims about MS SQL Server I have done my best to check that they apply to version 2014 by consulting Microsoft's own documentation – although, for reasons I will get to, I have also had to rely largely on Google, Stack Overflow and the users of the internet. its the best article on sql server i have ever read,in all the years as a .net developer. You can also log to stderr or the system log or to the Windows event log (provided you're running PostgreSQL in Windows, of course). On the two occasions I have asked the PostgreSQL mailing list for help, I have received replies from Tom Lane within 24 hours. You have to drop all the objects in the schema manually, and. Presumably they are also unaware of the existence of charities or volunteers or unpaid bloggers or any of the other things people do purely out of a desire to contribute or to create something or simply to take on a challenge. On those very rare, very specific occasions when CPU power is truly the bottleneck, you almost certainly should be using something other than an RDBMS. Unicode-encoded text (for our purposes this means either UTF-8 or UTF-16) is a variable-width encoding. I have never met a database user who likes the T-SQL procedural language. The Denodo Community is where customers, partners and users have access to information that can help them learn about the Denodo Platform and Data Virtualization to start building agile data solutions the modern way. If features are to be added to the methodology (e.g. It makes sense: would you rather find out your import went wrong now, or a month from now when your client complains that your results are off?). Update: it was pointed out to me that one really useful feature MS SQL Server has which PostgreSQL lacks is the ability to declare variables in SQL scripts. ; Updated: 19 Dec 2020 Neither PostgreSQL nor MS SQL Server are crash-happy, but MS SQL Server does have a bizarre failure mode which I have witnessed more than once: its transaction logs become enormous and prevent the database from working. As I type this, some IT professionals I know are waiting for a major hardware vendor to help them with a performance issue in a £40,000 server. It works exactly as designed; the problem is that the design is terrible. I have installed MS SQL Server several times. I have used this to implement a complex, stateful payment processing algorithm operating on a million rows of data per second – and that was on a desktop PC. Here's what I came up with: i.e. It is very handy to be able to do this quickly and neatly. The back-end database of Skype (ironically now owned by Microsoft) is PostgreSQL. Casting and conversion of date and time types is easy and intuitive - you can cast any type to TEXT, and the to_char and to_timestamp functions give you ultimate flexibility, allowing conversion in both directions using format strings. For example: As usual, it just works. No problem! Welcome to MSDN! You then have a favoured position in the market as a provider of support and deployment services for the software. We compound the interest on the 1st of every month. 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. In the Schema - New dialog box, on the General page, enter a name for the new schema in the Schema name box. A competent Linux hacker can achieve in a single throwaway line of Bash script a task which would be arduous and time-consuming in Windows. If you read this and assume that just because I massively prefer PostgreSQL I must be biased, that means you are biased, because you have refused to seriously consider the possibility that it really is better. It's prettier. 2. When Steve Ballmer was CEO he described Linux as "a cancer" (although Ballmer also said "There's no chance that the iPhone is going to get any significant market share. 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 lets you use R as a procedural language. 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. Oh, did I mention that the total cost of the database software and the helpful advice and recommendations from the acclaimed programmer was £0.00? Note the huge amount of code and gymnastics required to implement this simple function (which PostgreSQL provides out of the box, incidentally. But everyone knows that regex operations can be very computationally expensive, and in any case, what was PostgreSQL being compared to? As a result they trade user-friendliness for enormous power and flexibility. Infrastructure flexibility is more important than ever and that trend will only continue. The docs also have a sense of humour: MS SQL Server's documentation is all on MSDN, which is an unfriendly, sprawling mess. Manual steps increase risk and reduce efficiency. It also means that if you care mostly about OLTP or data warehousing, you might not find this document very helpful. Commercial products have support from people who support it because they are paid to. Another way to prevent getting this page in the future is to use Privacy Pass. C: doesn't quite belong in this list because you have to compile it separately, but it's worth a mention. 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. GUIs do not work well across low-bandwidth or high-latency connections; text-based shells do. I looked up the algorithm on Wikipedia, gained a rough idea of how it works, found the implementation in the PostgreSQL source code, wrote a fix and emailed it to one of the PostgreSQL developers. Q&A for people seeking specific software recommendations. In PostgreSQL, custom aggregates are convenient and simple to use, resulting in fast problem-solving and maintainable code: Elegant, eh? Also, needless to say, "the author of PostgreSQL" is as meaningless as "the author of MS SQL Server". If you work in tech for an organisation which disregards open source, enjoy it while it lasts. Don't trust anyone who doesn't know what these things are), MS SQL Server exporting broken, useless CSV. For example, to install the fuzzystrmatch extension you do this: PostgreSQL is free as in freedom and free as in beer. 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. MS SQL Server feels like it was written by people who never have to actually use MS SQL Server to achieve anything. A custom aggregate is specified in terms of an internal state and a way to modify that state when we push new values into the aggregate function.