Integrating NoSQL databases with other IT systems can present challenges, including moving data into and out of JSON - a key NoSQL format - and keeping up to date with evolving data, as is the case with data collected from web services.
FME’s data conversion and integration platform facilitates the migration of data into and out of NoSQL databases and helps you overcome these challenges, regardless of their complexities, all without coding.See How FME Works
FME features read & write support for 345+ formats including JSON, XML and several NoSQL databases.
Configure data conversion workflows to run at scheduled intervals or in response to real-time events.
Extract data from NoSQL systems and transform it for use in practically any application.
Even if your target NoSQL system’s JSON is highly nested and complex, FME’s tools allow you to easily create JSON with a matching structure out of any source data.
Alter the contents of a JSON document before loading it into a NoSQL system. Insert, replace, merge, remove and append values, and also rename keys.
Ensure JSON looks like JSON before loading it into a NoSQL database with FME’s JSON validation tool that identifies syntax errors.
Break JSON documents into parts with FME’s tools that identify object keys and values, and extract the portions you want to work with.
Automate NoSQL data migration workflows so you can keep up with dynamic data sources like web services. By deploying FME's data conversion and integration technology via FME Server or FME Cloud, you can configure workflows to run at scheduled intervals or in response to real-time events.
Many NoSQL databases are capable of storing geospatial features and attributes as GeoJSON. FME supports GeoJSON and can help you convert spatial data into this standardized format. FME can also help you transform data from NoSQL databases into the proper format for use in a variety of spatial applications.