I recently started doing backend development and so I started using databases in my work. So was curious as to what are the databases which other p...
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For my own personal projects, i keep using PostgeSQL (not really sure why, but it's just seems to work for me). On the work side, MSSQL is the go to one. Here in Denmark, im not sure how many applications runs on other database platforms. I have never heard any coworker or other professional usie something else, but then again Denmark is a big Microsoft fanboy :D
Nice
Hi. For internal company systems I use Microsoft SQL Server, for the majority of customers in the industry I also use MS SQL Server + PostgreSQL. But for Linux and low-cost solutions mainly PostgreSQL.
amazing!
great!
I've been trying out
Surrealdband I like it a lot. I can use it as an embedded db or as a server/client model (makes testing pretty easy). The query language is nice and it also has built-in vector functions so I'm using it as a vector store for a Retrieval-Augmented Generation (RAG) pipeline.I also recently learned about
recfilesbut haven't had a chance to use them yet.Great!
I am building one. Kind of insane.
Interesting... Why?
super!
MySQL (and Redis for cache and queues).
Honestly I haven't really experimented with anything else, I could easily switch to MariaDB (which is more or less a drip in replacement) or Postgres (since most of my projects use an ORM that can use MySQL or Postgres interchangeably). I know that MySQL works for me, after 10 years of using it I know how InnoDB works and how to optimize for it, I know which tools I need with MySQL (mostly tools from Percona)... So I don't really feel the need to start over with another DB.
I'll definitely use something like Mongo if I ever need to store non relational data, or Cassandra if I need to store data over many decentralized servers, and I indirectly use Elastic search for time series when I use graylog to store my logs. But it turns out most of the applications I build need a centralize datasource (with a few Replicas for availability) to store relational data, so MySQL it is !
great to know!
For the back end, I prefer MySQL or PostgreSQL in GCP/AWS. For analytics, I use BigQuery daily.
Because of my specialty (data engineering), I must use all the databases mentioned and even more (depending on the project). Imagine migrating Access to SQL; it's very funny.
nice!
Hey, I'm head of product over at Xata. A large portion of our team came from Elastic and a common architecture we saw at scale was PostgreSQL + Elasticsearch as a way to get all the OLTP benefits of a relational database with full text search and metrics / aggregations for other application / analytical needs. This was seen across industries ranging from the ecommerce to commercial applications to the federal government. With the boost in AI use cases, I can only imagine this has become even more common of an architecture.
We've decided to productize this architecture as a service. If you're interested in learning more about the implementation details for inspiration, here's the architecture behind our platform: xata.io/docs/concepts/serverless-d...
Now redis is paid one ? Plz confirm
It's not, unless you want to resell it as managed service
Yes
no
MariaDB/MySQL, and a little of PostgreSQL. But I love using these databases with Prisma ORM
Amazing
MySQL and Redis (with SQL Server for access to some legacy data).
super!
Currently we use PostgreSQL and Redis.
great
Microsoft SQL Server
nice
MySQL, Postgres, and SQLite
great
I use whatever's right for the job. Typically, though, I use MariaDB or PostgreSQL for structured data, and MongoDB or CosmosDB for unstructured data.
great
Supabase (So postgresql) and SurrealDB
amazing
PostgreSQL
nice
I use MySQL(mainly) and Redis.
great!
SingleStore database for all the AI/ML applications:) Try it for free and once you sign up, you will receive $600 worth free credits to play around.
amazing
MongoDB for smaller projects and MySQL for bigger ones.
Redis for caching only.
super
We use IBM DB2 at work. It's reliable but lacks a lot of modern features
awesome!
I like SQLite for most of the daily tasks
great!
MySQL and firebase mostly.
awesome!
with golang i am using these depending on situation: mariadb , sqlite, bboltdb
nice
For simple cases I use sqlite, which is easy to maintain. There is an API for NODE.JS or PHP.
Super
PostgreSQL
nice!
Elasticsearch and MongoDB
nice!
amazing
PostgreSQL
amazing!
Oracle hentzer Google Amazon DOD.MI
nice!
Supabase hands down
awesome
I use Gauss DB in work
amazing