Is MongoDB suitable for time series data?

MongoDB can be an extremely efficient engine for storing and processing time-series data, but you’d have to know how to correctly model it to have a performant solution, but that wasn’t as straightforward as it could have been.

How does MongoDB store time series data?

As of MongoDB 5.0, MongoDB natively supports time series data. You can create a new time series collection with the createCollection() command. When you want to create a time series collection, you must include the timeField option. timeField indicates the name of the field that includes the date in each document.

How is data stored in a time series database?

A time series database stores data as pairs of time(s) and value(s). By storing data in this way, it makes it easy to analyze time series, or a sequence of points recorded in order over time. A TSDB can handle concurrent series, measuring many different variables or metrics in parallel.

How does MongoDB store time?

Basically you have two options:

1. Save time in type: String.
2. Save date time in type: Date.

How do you handle time series data?

4. Framework and Application of ARIMA Time Series Modeling

1. Step 1: Visualize the Time Series. It is essential to analyze the trends prior to building any kind of time series model.
2. Step 2: Stationarize the Series.
3. Step 3: Find Optimal Parameters.
4. Step 4: Build ARIMA Model.
5. Step 5: Make Predictions.

How do I save a time stamp in MongoDB?

2 Answers

1. If you are on mongo shell then new Date() would insert the current time. db.mycollection.insert({ ‘created_on’ : new Date() })
2. And if you want to use raw PHP then – $collection->save(array(“created_on” => new MongoDate()));

What time format does MongoDB use?

MongoDB stores times in UTC by default, and converts any local time representations into this form.

Is MongoDB good for timeseries data?

Yes definitely, NoSQL database better suits storing timeseries data than traditional RDBMS. Yes MongoDB is exceptionally adapted to this use case. -How should you structure the database? One document = one time series input VS multiple time series. The answer is to store in one document multiple timeseries.

What is the best way to store time series data?

Many companies are using MongoDB for storing time-series data. Especially, its Capped Collection [1] feature is really useful because it automatically purges old data to keep the data fit into the memory. People aggregates the results by normal grouping or MapReduce, but they’re not that fast.

Is it possible to store multiple entries per document in MongoDB?

There are some problems with storing multiple entries per document: Also note a timestamp is built-in to the default MongoDB ObjectId. You can use this if the time series precision is less than one second. Here is an example BSON document from an event logging library that uses MongoDB:

Is it possible to store time series data in MySQL?

Storing time series data in a purely relational format as you would have to do using MySQL will require massive storage as key data, timestamps, and perhaps non-key attributes that are not time related will have to be duplicated for every time point element.