Databases are a great way to organize collected data. But what happens when you have multiple databases, each with their own schemas, that don’t interact with each other? You get a data mess. That’s what.

This is why many organizations are opting for the use of centralized databases or data warehouses to create a single source of truth for all users. Not only does it create a more organized system for data users, but it makes life at work more efficient by reducing the need for requests and permissions to be put in place. With FME, you can simplify and consolidate your data, prepare your data for a SQL or NoSQL database, integrate applications, and overall, make life just a bit easier.

Dive in With Databases

Why FME for Databases and Data Warehouses?

Automate Database Updates

Ensure that your data storage system is updated with changes and new entries by running your integration workflows automatically on a schedule or based on trigger events with FME Server. No coding required!

Create Consistency While Preserving Details

Transform and convert your data into the appropriate format for the database of your choice, all while retaining the information you need. No one wants to lose data during their integration journey!

Load Data in Bulk

Have a massive new dataset that needs to be incorporated with the rest of your enterprise data? Use FME to transform and convert your data in bulk to ensure all data records are altered and loaded in a consistent way.

Add Data Directly From The Field

Create your own FME Server App that allows anyone (with or without an FME Server account) to contribute data to your system. This means data can be collected in the field and sent directly to your database.

Connect Data from IoT Sensors

With FME you can read your JSON data from web services that are connected to your IoT devices and send the data through your custom workflows. From there, your time-series data and metadata can all be sent to the same place.

Free Support!

No matter where you are in your FME journey, we are here to help! Visit the FME Community to discuss your data journey with other FME users and our experts, or reach out to us via Live Chat for further assistance.

Supported Databases and Data Warehouses

mongodb
mssql
oracle
sap
google cloud
ibm
couchdb
postgresql

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FME for Data Warehousing

Data warehouses are an excellent option for enterprises that want to align data from various databases all in a single repository. No matter if you’re using an on-premise or cloud data warehouse system, FME can help you get your data where it needs to go.

A data warehouse can help make coordination and maintenance of all your datasets more effective and efficient. Use any of FME’s transformers to help you deal with anything from big data to incremental updates and see why FME is “the best choice” for integrating your data systems.

FME for Data Warehousing

FME for Data Quality

When migrating datasets into a database, converting your data to a supported format won’t be your only concern. Data validation is also an essential step towards a high-quality data storage system and building out a process to do this isn’t always easy.

With FME, you can create workflows that automatically detect change or errors in your database system. From there your workflow can fix and validate your data or be set up to notify the user who entered the invalid data of their mistake (we all make mistakes sometimes!) No matter what method you choose to ensure data quality, FME is here to help.


FME for Spatial Databases

FME is the data integration platform with the best support for spatial data, including support for spatial databases! This includes a variety of Esri platform databases like File Geodatabase and ArcSDE, as well as spatial databases like Oracle Spatial and PostGIS. And with GIS tools like the Reprojector and TopologyBuilder that can help you complete common GIS tasks, you’ll be able to modify for your data exactly for your needs.

Devon Energy successfully implemented their spatial data warehouse using FME. By creating custom workflows and using FME Server to automate various tasks, the team now can streamline spatial data across their organization with ease.

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  • "FME is my go-to tool for converting, analyzing, and manipulating all types of data. I couldn’t do my job without it."

    Jeff DeWitt, Georgia Power
  • "You leave the office in the late afternoon to go home. Then FME takes over, and the next morning you come back, and it’s all done. What more could you wish for?"

    Gido Langen, NRCan Surveyor General Branch
  • "If you feel like you’re fighting with your data to get it to do what you want, FME was made to help you."

    John Cook, City of Austin
  • "FME has allowed hundreds of hours of work to be automated."

    Joe Ellerington, Warwickshire County Council
  • "FME is the way to automate huge datasets without coding. Transforming data to any format as easy as selecting the data type wanted from a list."

    Jairo Castillo, City of Calgary

Related Resources

Blog NoSQL Databases: Exploring What's Possible With FME Read the Post
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