UGC is the most influential form of content that inspires 81% of purchase decisions. Moast helps Shopify brands collect and display more content than ever before. Instantly turn your content into shoppable UGC galleries that drive sales, social proof, and revenue.
Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Based on our record, Memgraph should be more popular than Moast. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I will be scheduling interviews with some of my clients for my SaaS (moast.io) and looking for a template / article with some of the best practices for this exercise. Ideally with a list of some of the best discovery questions to ask to learn more about what they like / don't like about the product. Source: about 1 year ago
Instead try leaning on your existing customers as ambassadors - in the end they are the best advocates for your product. Platform like Moast let you turn your existing customers into Hosts that can connect with shoppers in their communities. It's like influencer marketing but more authentic. Source: about 1 year ago
We offer peer-to-peer showrooms for e-commerce stores through moast.io . Currently at about $2k MRR. It's a super valuable platform but not one that people know they need until they come across it (so not many of search terms to go after). I'm looking to invest in an inbound strategy to go alongside my outbound. Source: about 1 year ago
Maybe one thing I can suggest that could be a good fit for your brand is a platform to connect your shoppers and your existing customers. You can use your existing customers to answer questions from your shoppers or even schedule meetups so they can see the product in person. This would also help you accelerate through your sales cycle. A good platform for this is called Moast (moast.io). Source: almost 2 years ago
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / 4 months ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / 7 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 12 months ago
Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / about 1 year ago
Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: about 1 year ago
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