What is Parse-Server and what are its top alternatives?
Top Alternatives to Parse-Server
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds. ...
With Parse, you can add a scalable and powerful backend in minutes and launch a full-featured app in record time without ever worrying about server management. We offer push notifications, social integration, data storage, and the ability to add rich custom logic to your app’s backend with Cloud Code. ...
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling. ...
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding. ...
- React Native Firebase
RNFirebase is a light-weight layer sitting on-top of the native Firebase libraries for both iOS and Android which mirrors the Firebase Web SDK as closely as possible. ...
awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services. ...
- Adept Scale
Adept Scale works by ingesting and processing an application’s syslog drain. With a few parameters found in the settings section, the Adept Scale calculation algorithm will recommend dyno usage and will scale your dynos if necessary. ...
is a hosted service for auto-scaling both web- and worker dynos. The service supports practically any worker library across all programming languages through an abstract interface. ...
Parse-Server alternatives & related posts
- Realtime backend made easy367
- Fast and responsive268
- Easy setup239
- Backed by google126
- Angular adaptor82
- Great customer support35
- Great documentation30
- Real-time synchronization25
- Mobile friendly21
- Rapid prototyping18
- Great security14
- Automatic scaling12
- Freakingly awesome11
- Angularfire is an amazing addition!8
- Super fast development8
- Ios adaptor6
- Firebase hosting6
- Awesome next-gen backend6
- Built in user auth/oauth6
- Speed of light4
- Very easy to use4
- Brilliant for startups3
- It's made development super fast3
- Low battery consumption2
- Free hosting2
- Cloud functions2
- Push notification2
- JS Offline and Sync suport2
- Free authentication solution2
- The concurrent updates create a great experience2
- I can quickly create static web apps with no backend2
- Great all-round functionality2
- Easy Reactjs integration1
- Easy to use1
- Free SSL1
- CDN & cache out of the box1
- Faster workflow1
- Google's support1
- Good Free Limits1
- Can become expensive31
- No open source, you depend on external company15
- Scalability is not infinite15
- Not Flexible Enough9
- Cant filter queries6
- No Relational Data3
- Very unstable server3
- No offline sync2
- Too many errors2
related Firebase posts
This is my stack in Application & Data
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
- Easy setup116
- Free hosting76
- Use push notifications in 3 lines of code46
- Cloud code39
- Good for prototypes31
- Cloud modules30
- Backed by facebook27
- Parse Push7
- Cross Platform7
- Parse Core6
- Parse Analytics6
- Quick chat and profile capabilities5
- Free Tier5
- Cloud Based4
- Backend as a service3
- Backbone Models3
- Nice security concept3
- Local Datastore2
- Anonymous Users2
- Easy to use2
- About to Die1
related Parse posts
- Easy deployment704
- Free for side projects459
- Huge time-saver374
- Simple scaling348
- Low devops skills required261
- Easy setup190
- Add-ons for almost everything174
- Beginner friendly153
- Better for startups150
- Low learning curve133
- Postgres hosting48
- Easy to add collaborators41
- Faster development30
- Awesome documentation24
- Simple rollback19
- Focus on product, not deployment19
- Natural companion for rails development15
- Easy integration15
- Great customer support12
- GitHub integration8
- Painless & well documented6
- I love that they make it free to launch a side project4
- Great UI3
- Just works3
- PostgreSQL forking and following2
- MySQL extension2
- Able to host stuff good like Discord Bot1
- Super expensive24
- Not a whole lot of flexibility7
- No usable MySQL option5
- Low performance on free tier4
- 24/7 support is $1,000 per month1
related Heroku posts
StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.
Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!
#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
- Document-oriented storage828
- No sql593
- Ease of use549
- High performance408
- Open source215
- Replication & high availability143
- Easy to maintain110
- Easy scalability38
- High availability36
- Document database27
- Full index support25
- Easy setup25
- Fast in-place updates15
- Agile programming, flexible, fast14
- No database migrations12
- Easy integration with Node.Js8
- Enterprise Support6
- Great NoSQL DB5
- Drivers support is good3
- Aggregation Framework3
- Support for many languages through different drivers3
- Managed service2
- Easy to Scale2
- Acid Compliant1
- Very slowly for connected models that require joins6
- Not acid compliant3
- Proprietary query language1
related MongoDB posts
Recently we were looking at a few robust and cost-effective ways of replicating the data that resides in our production MongoDB to a PostgreSQL database for data warehousing and business intelligence.
We set ourselves the following criteria for the optimal tool that would do this job: - The data replication must be near real-time, yet it should NOT impact the production database - The data replication must be horizontally scalable (based on the load), asynchronous & crash-resilient
Based on the above criteria, we selected the following tools to perform the end to end data replication:
We chose MongoDB Stitch for picking up the changes in the source database. It is the serverless platform from MongoDB. One of the services offered by MongoDB Stitch is Stitch Triggers. Using stitch triggers, you can execute a serverless function (in Node.js) in real time in response to changes in the database. When there are a lot of database changes, Stitch automatically "feeds forward" these changes through an asynchronous queue.
We chose Amazon SQS as the pipe / message backbone for communicating the changes from MongoDB to our own replication service. Interestingly enough, MongoDB stitch offers integration with AWS services.
In the Node.js function, we wrote minimal functionality to communicate the database changes (insert / update / delete / replace) to Amazon SQS.
Next we wrote a minimal micro-service in Python to listen to the message events on SQS, pickup the data payload & mirror the DB changes on to the target Data warehouse. We implemented source data to target data translation by modelling target table structures through SQLAlchemy . We deployed this micro-service as AWS Lambda with Zappa. With Zappa, deploying your services as event-driven & horizontally scalable Lambda service is dumb-easy.
In the end, we got to implement a highly scalable near realtime Change Data Replication service that "works" and deployed to production in a matter of few days!
We use MongoDB as our primary #datastore. Mongo's approach to replica sets enables some fantastic patterns for operations like maintenance, backups, and #ETL.
As we pull #microservices from our #monolith, we are taking the opportunity to build them with their own datastores using PostgreSQL. We also use Redis to cache data we’d never store permanently, and to rate-limit our requests to partners’ APIs (like GitHub).
When we’re dealing with large blobs of immutable data (logs, artifacts, and test results), we store them in Amazon S3. We handle any side-effects of S3’s eventual consistency model within our own code. This ensures that we deal with user requests correctly while writes are in process.
- Well supported2
related React Native Firebase posts
Firebase Cloud Firestore Cloud Functions for Firebase Google App Engine React React Native React Native Firebase NativeBase Twilio Dwolla.js Yarn fastlane Bitbucket Slack LastPass