What is Graphene and what are its top alternatives?
Top Alternatives to Graphene
- Graphite
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand ...
- Ethereum
A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference. ...
- GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012. ...
- SQL
SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). ...
- Prisma
Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js. ...
- Oracle PL/SQL
It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features. ...
- Oracle PL/SQL
It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features. ...
- JSON API
It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine. ...
Graphene alternatives & related posts
- Render any graph16
- Great functions to apply on timeseries9
- Well supported integrations8
- Includes event tracking6
- Rolling aggregation makes storage managable3
related Graphite posts
Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:
By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.
To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...
(GitHub : https://github.com/m3db/m3)
A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we’re looking to migrate all of these to our internal monitoring system soon).
- Decentralized blockchain, most famous platform for DApp7
- Resistant to hash power attacks2
- Rich smart contract execution environment2
- #2 on capitalization after Bitcoin2
- High fees and lacks scalability1
related Ethereum posts
Which is the best to use for integrating blockchain techniques into a secure cloud system: Parity, Ethereum, or hyperedge fabric?
Hey! I am building an uber clone using blockchain. I am confused about where do I store the data of the drivers and riders and transaction information. IPFS or Ethereum? or do I store the IPFS URL on Ethereum? What would be the advantages of one over the other?
- Schemas defined by the requests made by the user75
- Will replace RESTful interfaces63
- The future of API's62
- The future of databases49
- Self-documenting13
- Get many resources in a single request12
- Ask for what you need, get exactly that6
- Query Language6
- Evolve your API without versions3
- Type system3
- Fetch different resources in one request3
- Ease of client creation2
- GraphiQL2
- Easy setup2
- "Open" document1
- Easy to learn1
- Better versioning1
- Standard1
- Backed by Facebook1
- 1. Describe your data1
- Fast prototyping1
- Good for apps that query at build time. (SSR/Gatsby)1
- Hard to migrate from GraphQL to another technology4
- More code to type.4
- Takes longer to build compared to schemaless.2
- All the pros sound like NFT pitches1
- Works just like any other API at runtime1
related GraphQL posts
I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery
For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:
Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have
GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.
MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website
When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?
So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.
React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.
Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.
related SQL posts
- Type-safe database access11
- Open Source10
- Auto-generated query builder8
- Supports multible database systems6
- Increases confidence during development6
- Built specifically for Postgres and TypeScript4
- Productive application development4
- Supports multible RDBMSs2
- Robust migrations system2
- Doesn't support downward/back migrations2
- Doesn't support JSONB1
- Do not support JSONB1
- Mutation of JSON is really confusing1
- Do not support JSONB1
- Jjj0
related Prisma posts
I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.
In my last side project, I built a web posting application that has similar features as Facebook and hosted on Heroku. The user can register an account, create posts, upload images and share with others. I took an advantage of graphql-subscriptions to handle realtime notifications in the comments section. Currently, I'm at the last stage of styling and building layouts.
For the #Backend I used graphql-yoga, Prisma, GraphQL with PostgreSQL database. For the #FrontEnd: React, styled-components with Apollo. The app is hosted on Heroku.
Oracle PL/SQL
- Multiple ways to accomplish the same end2
- Powerful2
- Not mysql1
- Massive, continuous investment by Oracle Corp1
- Extensible to external langiages1
- Pl/sql1
- High commercial license cost2
related Oracle PL/SQL posts
Oracle PL/SQL
- Multiple ways to accomplish the same end2
- Powerful2
- Not mysql1
- Massive, continuous investment by Oracle Corp1
- Extensible to external langiages1
- Pl/sql1
- High commercial license cost2