Build and deploy full-stack apps that scale. Create user-facing apps, internal tools, workflow automation, and more end-to-end. Get started in minutes, master it in hours. No prior development experience is necessary.
With a focus on a powerful drag-and-drop interface to build front-end, along with an easy-to-use custom data table builder that generates automated crud APIs and CMS, and a graph-based workflow builder to bring data from existing data sources and 3rd party integrations easily, while allowing you to create logic-based workflows and testing at the same time along with complete documentation, Canonic becomes a powerful tool to do full stack application development.
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.
No features have been listed yet.
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 Canonic. 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.
Take a look at one of the linked services https://canonic.dev/ This is what the future looks like, but without dragging and dropping. It's just a bunch of blocks stacked in grids, columns, and rows. This is what GUI and UX has become. Just black text on white rectangles, because it needs to adapt to every form factor, be accessible, be internationizable, be blahblahblabhlabblahblahblah. It has to be generic. GenUI... - Source: Hacker News / 3 months ago
Canonic’s been quite helpful for us for some of our internal tooling. Source: about 1 year ago
Could this work for you? https://canonic.dev. Source: about 2 years ago
Check out https://canonic.dev/. Lots of potential. Source: over 2 years ago
If you're new to Canonic, I recommend reading about our product and how we're trying to reduce backend development time and effort ,through an intuitive low-code platform, before you move on further to learn about our new developments for Disrupt 2021. - Source: dev.to / almost 3 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 / 11 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
Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
TreeLine - TreeLine just stores almost any kind of information.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
DBacked - Simple, secure database backup as a service 🛠️
FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.