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What is MongoDB?
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.
What is InfluxDB?
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
Pros about this tool
Cons about this tool
1812 Companies Using MongoDB
92 Companies Using InfluxDB
What are some alternatives to MongoDB and InfluxDB?
InfluxDB is a game changer
November 08, 2014 03:09
InfluxDB is a game changer
Wait for horizontal scaling
June 13, 2016 15:09
Influx doesn't currently natively support horizontal distribution. Hard to recommend it until they implement that.
Trello uses MongoDB
MongoDB fills our more traditional database needs. We knew we wanted Trello to be blisteringly fast. One of the coolest and most performance-obsessed teams we know is our next-door neighbor and sister company StackExchange. Talking to their dev lead David at lunch one day, I learned that even though they use SQL Server for data storage, they actually primarily store a lot of their data in a denormalized format for performance, and normalize only when they need to.
PlayCanvas uses MongoDB
Used to be MySQL, but once moved to MongoDB, everything just speed up dramatically, data became pretty and easy to work with. Sophisticated aggregations allow us to run complicated analytics anytime as easy as possible.
Foursquare uses MongoDB
Nearly all of our backend storage is on MongoDB. This has also worked out pretty well. It's enabled us to scale up faster/easier than if we had rolled our own solution on top of PostgreSQL (which we were using previously). There have been a few roadbumps along the way, but the team at 10gen has been a big help with thing.
israelroldan uses MongoDB
We use MongoDB as the database server for all infra configuration/settings.
tarun11ks uses MongoDB
Used MongoDB as primary database. It holds trip data of NYC taxis for the year 2013. It is a huge dataset and it's primary feature is geo coordinates with pickup and drop off locations. Also used MongoDB's map reduce to process this large dataset for aggregation. This aggregated result was then used to show visualizations.
Remote Interview uses MongoDB
MongoDB is only used as session storage since storing session in Firebase is not feasible.
nrise uses MongoDB
로그성 데이터는 mongodb 에 기록됩니다. 뛰어난 성능이 강점입니다만 NOSQL 의 특성을 이해하지 못하고 사용할 경우에는 오히려 독이 될 수 있습니다.
InstaGIS uses MongoDB
Big datasets not likely to need joins with another dataset go in Mongo to offload Postgresql
Merge In uses MongoDB
We use Mongo for persistent storage and retrieval. We also use a nifty Mongo ODM, Mongoose (available from NPM), to model our schemas and connect to Mongo on our private VLAN.
DeliciousDB uses MongoDB
We support Mongo databases so that developers can interact with their data.
Refractal uses MongoDB
Our data storage, for the most part is handled by a set of MongoDB storage clusters handling all the persistent information needed for our apps.
Spidy88 uses MongoDB
Hosts the unstructured data for each event that comes into the system. Also maps the event to each individual job or pipeline that gets spun off. All relevant persistent data is currently stored here.
AaronLlanos uses MongoDB
In conjunction with Mongoose.js as a Node.js interface for MongoDB, I utilize this service to store user/feedback information.
rohithn uses MongoDB
Because you don't know what data you will be querying for. Perfectly suited for rapid prototyping. Altering tables in traditional, relational DBMS is painfully expensive and slow.
Performance is not great though. Ah who cares!
restdb.io uses MongoDB
MongoDB is used as a datastore for accounts and users and underlying storage engine for databases.
GeniusLink uses MongoDB
Main data storage, Has a secondary cache and stores our time series reports.
denkbar.io uses MongoDB
MongoDB is our prefered document store for pretty much all non-relational-heavy development. MongoDB scales beautifully and provides us with very polished api's and drivers. Easy to use, flexible and scalable.
Lossless uses MongoDB
MySQL was yesterday... MongoDB rocks. Check out s for smartdata on npm for MongoDB with TypeScript support.
therealkevinard uses MongoDB
While the huge majority of BI data comes from 3rd-party sources, some pieces require ad-hoc sources - this is largely where Mongo comes into play. Views such as "Activity Log" need on-the-fly recordkeeping that's best manually entered; considering that fetching from a task manager API will paint an overwhelming or inaccurate picture of the month's activity.
Ambar uses MongoDB
Auxiliary storage for service data and settings. GridFS as storage for binary data
AngeloR uses MongoDB
We are testing out MongoDB at the moment. Currently we are only using a small EC2 setup for a delayed job queue backed by
agenda. If it works out well we might look to see where it could become a primary document storage engine for us.
kfancy uses MongoDB
Schema-less, JS in the console, flexible, fast, and pairs well with node/Mongoose.
Blood Bot uses MongoDB
The Geospatial features are the easiest to get up and running and easiest to scale beyond single servers. On top of that NoSQL allows us to iterate features at the speed of light.
rahulsmehta uses MongoDB
We used MongoDB to implement a filesystem abstraction for the application (i.e. each user has his/her own home directory and can share them, etc.)
fileee GmbH uses MongoDB
MongoDB is used to store most of our data, both user-related (e.g. documents, contacts etc.) and global.
kingsley-einstein uses MongoDB
Stores database items in document format. Doesn't require a schema declaration.
danielkovacs uses MongoDB
If we encounter multi-level or complex objects, we usually go with mongo/document/cosmos DBs. Getting better in detecting such objects and moving them here.
Kalibrr uses InfluxDB
Server and application metrics are all stored in InfluxDB for capacity planning and anomaly detection.
Goyoboard uses InfluxDB
To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable
sapslaj uses InfluxDB
InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.
ShadowICT uses InfluxDB
We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.