Nosql vs sql reddit. Loses to NoSQL in that department.

Nosql vs sql reddit Doesnt have to structure your data sounds nice, until you realize that most application have structured (and relational) data. I would not worry about the scalability of NoSQL for a startup. If it's SQL that's fine. For Rdbs, writing sql to generate report is easier compared to nosql. NoSQL is just a catch-all term for a lot of datastorage technologies that are not relational. NoSQL at allthis is Postgres vs. 95% of the time when dealing with data, you'll need to support relational data. Also the lines blur a lot these days with Postgres being able to handle JSON so at least for some document datatypes (vs KV, Graphs, Vector databases etc) modern single server OLTP systems are adapting to the NoSQL competition. Or check it out in the app stores Home; Popular; TOPICS. The answer to your question would be a long long reply. Here's one thought. I think you are asking about the CAP theorem, which basically says -- Consistency, Availability, and Partition tolerance: Choose 2. Like among other things, NoSQL is a document store meaning it's easier to store stuff that doesn't have as nice a format as rows in a SQL database. 1% of time when: Your data is genuinely not relational OR Your application is so large that the largest managed SQL database offering in Azure/AWS/Google won't work Then use NoSQL. For example, document model databases and columnar databases are both types of NoSQL databases but are designed to handle different types of data storage & retrieval patterns. Not entirely true. It has been proven that you can scale and get high performance for both SQL and NoSQL. Relational. Gaming SQL vs NoSQL Discussion 4. It's more like: Relational Database Document Database Graph Database NoSQL db is better for microservice architecture In what way? This needs citation. 153K subscribers in the SQL community. I would try to start think of these things not as a two-party system of 'SQL' and 'NoSQL'. Still, NoSQL is IMO good for serialised game states (which are inherently BLOBs - probably even non-durable ones - and SQL DBs tend to hate BLOBs, and are not really optimized for non-durable uses), and probably (though not exactly necessary) for analytics (which is an extremely different game from anything else) - I didn't see pure SQL (i. Time series. Thinking like SQL when doing NoSQL will lead to performance issues. Lots of NoSQL solutions exist that horizontally scale readily. And distributed vs. Complex queries: SQL databases are designed to handle complex queries that require joining multiple tables or performing aggregations. Main disadvantage of SQL database is scalability. Members Online. If I’m building a real-time website, for example, a live chat room, a webcam session, or a single page application where changes or new updates show up immediately (like a forum where a reply post is shown instantly), is it better to use a nosql or sql database to store and retrieve data? I would still use SQL but with the question and answer data structure is encoded in JSON and stored in its own field. Further reduces the meaning of "NoSQL" in my opinion. I do have a question regarding database design though. 161K subscribers in the SQL community. The first yes, the second no. k. After using both for a number of years, I’ve come a conclusion that you should always start with a SQL database and migrate to a NoSQL database during development if you find that you aren’t benefiting from the features of a SQL database or if you only need atomic mutations on a single document. Or check it out in the app stores Home; Popular; TOPICS A cool guide to SQL Vs NoSQL Databases So, SQL databases all use SQL for querying. The rationale is that you don’t need to query the internals of question data structure. SQL databases cannot scale linearly because of their feature set. 492 subscribers in the pressreleases community. in general, though, there aren't many valid reasons to use nosql. NoSQL stores tend to specialise in some area. Most product or service announcements… Like among other things, NoSQL is a document store meaning it's easier to store stuff that doesn't have as nice a format as rows in a SQL database. For this you could, put all the tsvs in a no sql db and use is gene a key. g. New comments It's *convenient* that NoSql tends to be in Json, as a lot of Web APIs transfer data in that format, but most people that compare Sql/NoSql simply state performance as a general term out of ignorance. There is just no specific answer. But the querying methods provided by most of the major nosql dbs, ie. NoSQL databases in general are useful for when: You need very low latency Modeling NoSQL is very different than SQL, you often duplicate or embedd data to achieve relationships. a. The big difference here then is ETL (SQL Database, SQL) vs ELT (Spark/Scala) with the former requiring a lot more overhead of loading the data into a database. never properly learned SQL systems. Since you're still learning, continue on and get comfy with NOSQL, but also put learning SQL high up on your TODO list. Or check it out in the app stores A cool guide to SQL Vs NoSQL Databases Locked post. As for when to choose one over the other I would generally prefer to use SQL unless there is some pressing reason not to. But then you had bigquery snowflake and what not that are not ACID and not transactional but they use SQL syntax…. NoSQL is better for scalability SQL too, e. There are relational databases that use other query languages (not widely used, but they do exist). There are many more different kinds of NoSQL databases like Redis, Cassandra, Neo4j, etc. Yea, though from everything I've heard about MongoDB, I wonder if it is the fairest point of comparison for determining "relational vs. NoSQL" (particularly because there's a lot of stuff out there that is NoSQL but will behave entirely differently than MongoDB). The thing that distinguishes NoSQL solutions, ironically, isn't that they don't use SQL, it's that they don't implement the relational model. 5k RPS peak in SO case) Structured data: SQL databases store data in tables with predefined schemas, which ensures that data is well-organized and easy to query. Ive been using RDBMS (mysql,sql,soql) since college and I tried mongodb recently but I can't understand much the concept behind NoSQL. It use to be that noSQL=non-transactional databases that can easily infinitely scale but don’t have ACID. A mirror of dev. That's my impression as well. We will also explore which database is more suitable for various types of applications and provide insights into when to choose SQL over NoSQL and vice versa. Like first and foremost NoSQL can be anything that is just not an ordinary SQL engine. Very limiting, even with thousands of options. DDB is a NoSQL database, so it Elastic/OpenSearch. So I understand the basic benefits of SQL vs. No-SQL became popular as SQL databases encountered scaling problems in web 2. SQL is designed for stuff like this - you can build the calculations right into the query. There's always going to be some need for RDBMS's, like for statistics, data warehousing, etc. NoSQL vs SQL, you can use either one of course but if you use Firebase it might make sense to not rewrite their document based NoSQL schema into a SQL one just to have local storage. nosql. Both are great for different use cases. The "Blogs" subreddit community is the all-in-one place for bloggers to share their work, ask for feedback, &… The term isn’t quite useful anymore. r/DevTo. If the data is a bunch of text and #'s and not billions of rows or large text then RDBMs all the way. A graph database is a form of NoSQL database (which actually is used a lot, Redis, MongoDB, Cassandra). NoSQL An engine that can do indexing on your data. A graph database on top of a NoSQL database only makes sense when you want to do graph algorithms on your database. On the other hand, NoSQL databases do not support handling data relations. Stick to SQL as a default, most applications don’t need anything else and many modern SQL databases can store unstructured data anyway. SQL isn't the same thing as JSON vs. With SQL you have to think carefully about what happens when nodes fail. If I recall correctly, eBay has a very nice implementation of utilizing NoSQL and SQL. In short, SQL vs NoSQL offer different trade-offs for horizontal scaling. NoSQL time-series DBs are lots better than the same solution implemented in an RDBMS. It's got easier ways to shard it so have an easier time scaling it out to multiple machines because of eventual consistency. . An rdbms could serve same purpose but as you said transforming your data into your neat schema takes a while, with no sql this avoided. if by collections you mean json objects, postgres has support for storing json and accessing the values inside the json from your SQL queries. SQL is just a language; SQL database engines are varied and come with an indescribable range of options. I'm familiar with the pros and cons of both SQL and NoSQL. For example, many people have criticized SQL for not being able to scale well, but companies like Uber and StackOverflow are able to scale them (up to 8. NoSQL, but would like some clarification on the justification behind these pros and cons: Why is it difficult to horizontally scale a SQL db? I've heard that it is challenging to perform complex operations like joins on relational data when they are spread across different servers, but isn't the SQL Server(SQL) vs MongoDB(NoSQL) Discussion For an accounting program that is supposed to record sales and purchase invoices and their documents in the insert, update, delete, and search operations and receive monthly reports on the status of sales and profits, is a SQL relationship table database better in speed or No SQL? NoSQL dbs is a plethora of different models. NoSQL is all about straight up performance via ram storage and increased horizontal scaling. NoSQL databases, on the other hand, are a good fit for systems that require: (3) Some NoSQL DBs offer SQL-like query languages, because it turns out that SQL is a deeply ingrained and convenient way to think about querying data, even if the data isn't explicitly relational. The only good reason to use NoSQL is faster development; but don't use it for larger applications; the lack of ACID compliance will be a major pain later. That's why we see so many ODBC drivers (a. if you ever start having to update entries, to complex queries, etc, nosql becomes a mess. Traditionally, SQL is slower, so if your UI relies on it, it can be an issue. to's best submissions. I keep hearing that NoSQL scales better than SQL and this is why Get the Reddit app Scan this QR code to download the app now. Also, NoSQL is usually translated as "Not Only SQL" these days and a lot of NoSQL databases are doubling back and are providing SQL interfaces, and transactions as well as ACID - so those things seem to be important after all (The (in)famous "MongoDB BI adapter" was simply a Postgres server using a foreign data wrapper to access It's like comparing 'cars' and 'not cars', in that NoSQL is not just one thing. I don't care what the query language is. That nullifies the main advantage of SQL over NoSQL. So having a setup with SQL and NoSQL will increase complexity at small scale (1000 users) without much benefits. And sharding can be pain in the ass. It’s the tool for the job 99% of times. There shouldn't be any "SQL vs non-SQL" debate. You'll have to learn the specific query syntax for whatever specific NoSQL database you're being introduced to. Assuming you're not including Redis/Memcache in NoSQL: Use SQL 99. It's an intro and will give you a good starting point. I was wondering which database system would be best suited for this, so i could focus on learning it. Mongodb, couchdb etc. Most product or service announcements… Get the Reddit app Scan this QR code to download the app now. If you learn Airtable, you learn Airtable (and you get a head start on a competing platform, SmartSuite) but that knowledge isn't very NoSQL datastores are typically built for modern hardware which has access to lots of cheap RAM. Loses to NoSQL in that department. In fact many NoSQL DBs, like DynamoDB, do not even operate with JSON Documents. And it became a shitfest real fast. Should be used when you need relations between data. It's about scaling and performance. I know that Dynamo is a no SQL database. 0 companies. That's the main reason to start with SQL: if you reach scaling problems, that's good (your product is successful!), and you can spend some time examining NoSQL options. So, for example, if we want to combine data from two documents in a MongoDB database, we need to write our own code to apply the logic we want. So it really depends on what you mean. NoSql is attractive to newbies because “hey no need to learn SQL” and for most of your hobby projects it will work just fine, however as data increases and relationships get more complex, it becomes apparent that NoSQL databases were not designed for this use case. SQL let's you do more than most query languages/methods used in nosql dbs. IMO you should do yourself a favour and learn the SQL dialect for your favourite RDBMS (Postgres right!) - or even spend some time just learning ANSI SQL, and how to model data to 3NF With a SQL database we'd have a table "tblQuantities" with predefined quantities that users could choose from. 94K subscribers in the blogs community. NoSQL, but would like some clarification on the justification behind these pros and cons: Why is it difficult to horizontally scale a SQL db? I've heard that it is challenging to perform complex operations like joins on relational data when they are spread across different servers, but isn't the . Get the Reddit app Scan this QR code to download the app now. By default, you should use a SQL database. There’s more nuance to it but it’s a good start. b-trees. SQL require you to structure your data, NoSQL doesnt. 6K subscribers in the nosql community. SQL database have better tools, since they've been around longer. Unfortunately NOSQL databases give up most SQL features to gain this scalability. NoSQL vs SQL for Hierarchical Database Model I want to try building a "mind map" like app, where I can dynamically add new children to existing tables in a hierarchical structure. e View community ranking In the Top 10% of largest communities on Reddit. Performance is not the only metric that you should care for. Unless you have a very strong use case for a NoSQL Database, I would recommend SQL over NoSQL. SQL is wonderful. Meanwhile each NoSQL database defines its own query language that is significantly different from all others. The reality is this isn't SQL vs. The SQL vs NoSQL debate isn't about JSON and structured vs normalized data. Same for graph and vector databaes. Some are very good for time-series data, some aren't at all. Many people who use Nodejs are fairly new to the backend world, so when they are to build a new project of their own (a personal project most of the time) they follow what they tutorials teach cassandra and nosql are very good for time-series data such as customer usage over time. NoSQL basically means any non-relational database. Usually when people talk about NoSQL vs Relational DBs they mean Key-Value, Document or Wide-column databases. Reply reply But, nothing beats raw SQL for laser like focus, speed, and flexibility. Some non-relational databases can be queried using SQL, and even many that can't can by using third-party software. , each with specialized use cases. ACID is one of more important things, and keeps your data clean. The downside of NoSQL is you will be writing your own data analysis tools. It does not. edit: If you learn relations db's picking up nosql will be easy, not so much the other way. Down the line it comes down what kind of queries you need to make. They serve entirely different purposes, and it's very important to consider your needs before choosing which one to go with. NoSQL: Works better with Big Data. 5 to 2x. It goes over databases in chapter 2 I believe. NoSQL has its use cases, such as when you don't know the structure of the data (great for data processing, such as excel documents). There's tons of applications where SQL is the correct choice over nosql that will require a lot of horizontal scaling, you can't just use nosql any time horizontal scaling is required. The most fundamental difference is in the name: SQL databases speak SQL, and NoSQL databases do NOT speak SQL, but have an alternative query language tailored to their strengths (but may be SIMILAR to SQL!) Of course, in the more recent years, the latest NoSQL DBMS started to speak SQL because SQL was so useful! Notice that I haven't mentioned SQL. To the question of whether NoSQL has advantages over RDBMS, the answer is a clear "yes". org Nov 5, 2024 · my subreddits. edit subscriptions. NoSQL is a document db from my understanding so would it be the better choice over using a relational database? SQL databases generally provide more features for querying data, joining, aggregating, applying statistical functions etc NoSQL databases tend to store data in a simpler way, with less concern for transaction handling or maintaining indexes, and so raw insert speed can be faster The product team are asking for some metrics and different numbers from devs. NoSQL Database Cheatsheet (2023) comment sorted by Best Top New Controversial Q&A Add a Comment If you haven't already, I suggest reading "Designing Data-Intensive Applications" they go over different nosql and sql databases. NoSQL is much bigger than MongoDB. Yes you can put a list into a NoSQL database, but if you ever try to do anything with the data in the list you will end up wishing you had many of the SQL database features. NoSQL can be easier. NoSQL vs RDBMS - Specific Use Case Question As we know, this topic is discussed all the time, but I'd like to give a specific use-case and see people's thoughts on whether a NoSQL or an RDBMS database would be more appropriate. 446 subscribers in the pressreleases community. See full list on coursera. popular-all-random-usersAskReddit-pics-funny-movies-gaming-worldnews-news-todayilearned-nottheonion-explainlikeimfive-mildlyinteresting-DIY Jan 24, 2025 · In this article, we will explain the key differences between SQL and NoSQL databases, including their structure, scalability, and use cases. 248 votes, 20 comments. Actually, the more observable difference is on write, NoSQL uses LSM tables while SQL uses B-trees. :) (And here's my confession - I myself actually gasp use some NoSQL solutions such as Aerospike in my work - not Mongo though. What we learned is that nosql is easier for writing but harder for reading data because in the end everything is still relationalnd "joins" are not native in nosql. Also tbh vertical scaling isn't that relevant in practice IMO, at least not in any remotely large system. In a traditional SQL database we have to think about relationships between tables, many to many, one to many, etc. Learn SQL and relational database design. centralized is orthogonal to sql vs. On a deeper level, LSM tables are more efficient on writes vs. The "SQL vs NoSQL" debate is unfortunate, because (as you seem to have half-suspected) it's really "Relational vs non-Relational". Developer friendliness, infra cost, integration with other tech, api documentation, are just to name a few of other stuffs that are just as important. And the big drawback of SQL -- namely, the inability to model complex data structures in a straightforward way -- hits very hard in the ORM scenario. With NoSQL, you basically lose some features and integrity guarantees, in exchange for getting a more scaleable database. NoSQL is highly overused by amateurs who think it's a good way to store data without having to learn about relational databases and SQL because you can just 'save' your javascript objects without having to worry about how it's stored on the back end. The main thing is SQL vs NoSQL. SQL is a product of the past. For large applications, this has basically devolved to -- Consistency or Availability: Choose 1, because Partition is bound to happen (network disconnect and latency between data centers). NoSQL is a wide world as well, and NoSQL vs. Key-value database, document-based database, graph database all fall under the category "NoSQL" So when to use NoSQL vs RDBMS? NoSQL Data security and consistency is not a priority Data is dynamic, unpredictable, or unstructured. are comprehensive enough for almost all use cases anyways, so I don't think querying flexibility is really a huge consideration when choosing between the two. And I try not to take my passion for SQL to religious levels. The categorization of "NoSQL" is more of the idea that they all don't use SQL, not that they all have some other common query mechanism. In my high level understanding NoSQL is like buch of data coming in and out with no respect to rdms practices like normalization. For all press releases or media releases of any type or topic. We would like to show you a description here but the site won’t allow us. Can someone explain to me when to use NoSQL instead of RDMS. This way when querying for one gene, the db would not need to scan all records. The big trade-off comes later on when you need to extract data from your system. They can perform the same behaviors as NoSQL databases, but depending on how your data is structured, used, and the scaling requirements, it may make sense to transition to a NoSQL database. To the question of whether MongoDB has advantages over RDBMS the answer is easy - no. NoSQL scale easily by executing many requests in parallel. NoSQL DBs are designed for "infinite scale". News, articles and tools covering alternative database systems. The long term problem of querying, indexing, etc is mostly solved these days in NoSQL but its still a pain hence the NoSQL all have SQL interfaces on top. Get the Reddit app Scan this QR code to download the app now SQL vs NoSQL upvote r/DevTo. With NoSQL you will have to think carefully about consistency. ) NoSQL will likely always be faster if you are willing to build your own because you can break parts of the SQL spec which are dumb from a performance perspective for your usecase but otherwise be fully SQL compatible. However, if you're using an ORM, then you are not doing that; you are only ever looking at small groups of records. The capacity of modern cloud SQL databases is more than sufficient for most web applications. For that 0. SQL) for NoSQL databases. The goal of /r/SQL is to provide a place for interesting and informative SQL content and discussions. "tbsp" vs "tablespoons" vs "spoons" vs "spns" vs whatever. NoSQL is great for unstructured data and as a generalisation yes is usually a bit faster to get started with. Unlike SQL, which has a common subset that works anywhere, your familiarity with one JSON protocol doesn't help with others. What if I have the proper indices in an SQL database? for this case, making a simple read query is just the same as the NoSQL counter part. It's easy(-ish) to migrate from SQL to NoSQL, going the other way is trying to squeeze toothpaste back into the tube. View community ranking In the Top 5% of largest communities on Reddit SQL vs. I think migrating from SQL to NoSQL for the activity table would not be hard as it doesn't need high consistency labels. The goal of /r/SQL is to provide a place for interesting and informative SQL content… NoSQL vs SQL for a writing app with folder structure I want to be able to store folders with documents/text content that lives in those folders. SQL comes into it’s own if your data is highly relational and is we’ll battle tested. This is pretty mischaracterized IMHO. , RDS/Aurora/Cloud SQL/Cloud Spanner if the objective is to store "big data" then use NoSQL SQL can also handle large amounts of data -- A good rule of thumb is to use SQL until you can't anymore. It's like throwing all your cloths, towels, socks, in a pile instead of neatly place them in different compartments of your wardrobe. I've been dealing with massive SQL and NoSQL bases, and every time I converted the NoSQL base to SQL, performance was improved by a factor 1. Actually, this article is not a comparison between NoSQL and SQL, it's a comparison between MongoDB and a relational database. Complexity come from having to manage different databases with maybe different languages and drivers. Remember that NoSQL just means “not SQL”, and covers everything from the excel spreadsheet on the IT guy’s desktop to I read a lot of discussions about SQL vs NOSQL, Redis vs CouchDB vs MongoDB and there are a lot of different answers! How would u manage a friendship relation (m-to-n ala twitter) with a (NO/)SQL db in an efficient way? Because NoSQL is easier, lots of tutorials use MongoDB as it is more beginner friendly, plus they don't have to invest extra hours talking about SQL. Computationally and cache speed wise, you should be using a middle-man mechanism to cache the output of the query, so in reality there should be little NoSQL is just a term used to categorize database systems that don't follow the tabular structure of RDBMS. NoSQL include data engines such as: You query and manipulate using syntax specific to the type of NoSQL database you’ve chosen. And people are really confused if they are NoSQL. I decided to go the dynamo DB + AWS python lambda + open API gateway model. Unfortunately, the answer is it depends. MongoDB. 9% of the time. MongoDB is to NoSQL, what "Nematode" is to "Animal". Scaling of SQL vs NoSQL . And *most* databases use SQL for ad hoc querying as that's the language of the business side. In-memory solutions are also NoSQL: low-level solutoins like memcached and Redis are very valuable for implementing caching solutions. SQL is for relational databases. dtc qrcq ftobkt nlry knu rtirfc pouu uhgi xyx tndc taeo yztrlx sbvf qmsh pzytfpf