Explore tweets tagged as #mongodb
Web development Courses for ππ«πππ₯ π CSS π DOM π SQL π HTML π APIs π Node.js π MongoDB π Database π Mongoose π Express.js π Javascript π Git & Github π Back-End Web Development π Front-End Web Development Just ππ«ππ Of Cost! Grab, Simply: 1. Like & Repost
17
5
20
This is a goldmine of AI resources by MongoDB! (free and geared towards real-world AI engineering) Building AI prototypes locally is fun. You can experiment quickly, push code, and try out different models with almost zero setup. Building AI for real users is where things get
5
56
268
MongoDB $MDB with a strong breakout on the monthly chart ππ
MongoDB Breakout Alert π¨ $MDB attempting to get above 4-year resistance on the monthly chart β
Will the 3rd time be the charm? For magnified exposure, consider the Tradr 2X Long MDB Daily ETF $MDBX from @TradrETFs #Sponsored
8
16
125
The future of intelligent applications starts with better search. π Our latest white paper breaks down how retrieval and relevance power generative AIβand how businesses can put it to work today. https://t.co/3KTOMfaTzO
0
2
1
How do you decide which type of database to use? There are hundreds or even thousands of databases available today, such as Oracle, MySQL, MariaDB, SQLite, PostgreSQL, Redis, ClickHouse, MongoDB, S3, Ceph, etc. How do you select the architecture for your system?
7
2
29
Why MongoDB uses BSON instead of JSON ?ΒΏ 1.) Binary format is much faster for reading & writing. - BSON is binary format,which makes reading and writing much faster than JSON. 2.) BSON supports many additional,advanced types that databases need. - JSON supports only 6 data
1
1
6
html β css β javascript β git & github β react β node.js β express β mongodb β rest apis β authentication (jwt / oauth) β typescript β next.js β docker β ci/cd congrats you are a full-stack developer now
136
302
3K
MODERN FULL-STACK AI TECH STACK Frontend: React Next.js TailwindCSS TypeScript Backend: Node.js Express FastAPI Python (for AI microservices) Database: MongoDB PostgreSQL Redis (for caching) AI & ML Layer: OpenAI API LangChain Vector Databases (Pinecone / Weaviate) Hugging
33
191
1K
Day 3 of Building Projects #buildinginpublic >Today was simple β¦ but a big milestone for my project. > finally connected my backend to MongoDB. Small step, HUGE progress. β
Installed & configured Mongoose β
Connected my server to the database β
Tested the connection β
1
0
12
10 disruptive AI companies those could give 10x or more returns in next 5 years. Do follow for chart and buy zones. Snowflakes $SNOW Crowdstrike $CRWD Cloudflare $NET MongoDB $MDB ServiceNow $NOW Datadog $DDOG Upstart Holdings $UPST Nebius Group $NBIS Zeta Global
0
1
6
A quick guide to the most popular open-source databases, including PostgreSQL, MySQL, MongoDB, Cassandra, and more. See key features like being ACID compliant, supporting NoSQL graphs, or handling high-volume OLTP. π₯ π Which database is your go-to for new projects? Let us
4
33
185
Become a full-stack Developer in 4 weeks π§π» This PDF Includes: β
HTML β
CSS β
JavaScript β
React β
Node and Express β
MongoDB β
Font-end to Back-end Integration β
Deployment β
Testing β
Personal Project To get it: - Like, Retweet and Follow - Reply "Dev" ONLY 499
102
53
114
NodeJS MongoDB CRUD Operations mongodb integration enables database operations within express applications supporting create, read, update and delete functionalities async connection patterns ensure reliable database communication with proper error handling for failed
45
0
46
Bought $MDB, strong bull flag. Should reach $500 in the coming weeks/months. Recent reporting showed a clear beat-and-raise: MongoDB revenue grew ~19% YoY to about $628M, ahead of Street expectations. Adjusted EPS came in far above estimates (roughly $1.32 vs ~$0.81). Atlas
1
0
3
NodeJS MongoDB CRUD Completion mongoDB CRUD operations achieve full implementation with update and delete functionalities completing data management cycle objectId conversion enables precise document targeting ensuring accurate updates and deletions within mongoDB collections
14
1
27
Cars Finder Agent!ποΈ AI Agent that: β Scrapes real car listings β Stores them in MongoDB β Uses AI to recommend the best cars based on user requirements Built with @nebiustf, @scrapegraphai, @crewAIInc, and @MongoDB
3
3
4
At the invitation of the @MongoDB Madrid team, I have the opportunity to participate in MongoDB Local Madrid. #MongoDBLocal #MadridTech
0
0
3
MongoDBβs AI resource hub is an absolute goldmine! π₯ Clean explanations, practical demos, & a real production focus: β³ Vector search pipelines β³ Memory-capable agents β³ Storage architectures β³ Indexing, caching, security One of the best collections out there. Link in π§΅β
5
10
38