![]() ![]() Connectors: Hevo supports 100+ Integrations to SaaS platforms, files, databases, analytics, and BI tools.These can be configured and tested before putting them to use. Hevo also offers drag and drop transformations like Date and Control Functions, JSON, and Event Manipulation to name a few. You need to edit the event object’s properties received in the transform method as a parameter to carry out the transformation. It also allows you to run transformation code for each event in the Data Pipelines you set up. Transformations: Hevo provides preload transformations through Python code.Real-Time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always. ![]() Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.GET STARTED WITH HEVO FOR FREEĬheck Out Some of the Cool Features of Hevo: Its strong integration with umpteenth sources provides users with the flexibility to bring in data of different kinds, in a smooth fashion without having to code a single line. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance. MongoDB Compass is a perfect alternative to the MongoDB Shell as it is not feasible to carry out complex queries with the MongoDB Shell.Ī fully managed No-code Data Pipeline platform like Hevo helps you integrate data from 100+ data sources ( including 40+ Free Data Sources) like MongoDB to a destination of your choice in real-time in an effortless manner. MongoDB Compass is open-source and is available for operating systems like Linux, Windows, macOS, etc. One such GUI tool is MongoDB Compass, which is used to query and analyze MongoDB data visually. ![]() The other one is the Graphical User Interface (GUI) that allows users to communicate with the MongoDB Server through automated tool functions rather than command-line queries. The first one is the Mongo shell, which is the simple command-line interface of the MongoDB server. MongoDB allows users to interact with the MongoDB Server through two interfaces. MongoDB environment provides a MongoDB Server to start and create several databases. Consequently, MongoDB is called a schema-less database. Each document in the MongoDB Collection is different due to its unstructured format. The data in MongoDB is referred to as Documents, whereas the number of Documents is called a Collection. Since it is an unstructured database, it has a flexible data structure that makes it easier to use for systems with a large volume of data and high performance. MongoDB is an open-source unstructured database that allows users to store data in key-value pairs, making it easy to access.
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