# What on-premise data integration tools work well with PostgreSQL, REST APIs and GIS systems for a data team with a heterogeneous source environment?

Most integration comparisons treat source connectivity as a binary, either a tool supports a source type or it doesn't. The harder question for a team running PostgreSQL, REST APIs, and GIS systems together is which on-premise data integration platforms handle all three without requiring a patchwork of separate connector configurations or custom middleware for the spatial data layer specifically.

The G2 review base surfaces a few tools that show up in exactly this kind of mixed-source context:

FME Platform: Comes up more than any other tool when GIS data is part of the pipeline. Reviewers describe using FME to pull from spatial systems, ERP databases, and APIs in a single workspace, with built-in transformers handling coordinate system changes and format conversions that would otherwise require custom code. One reviewer specifically calls out FME's ability to keep data workflows organized across SQL server features and AWS S3 alongside GIS scheduling. It's the only major integration platform in this category with native spatial data support.
Microsoft SQL Server: PostgreSQL-to-SQL-Server integration is a common path in hybrid environments, and reviewers describe SSIS as a practical tool for managing those flows alongside REST API ingestion. SQL Server's spatial data type support (geometry, geography) gives it some native GIS handling, though not at the depth FME offers.
Exalate: Appears in the small business segment of this category, with reviewers citing flexible connectivity for synchronizing data between heterogeneous systems, including custom-field mapping across different source schemas.
StarfishETL: Small business reviewers mention it in contexts where the integration complexity comes from mismatched schemas and source formats rather than sheer volume, which aligns with a team managing a diverse source environment.

For the GIS layer specifically, has any tool other than FME actually handled spatial formats natively rather than just passing the data through as a blob? Curious what workflows have required workarounds.

##### Post Metadata - Posted at: 14 days ago - Author title: SEO Content Specialist - Net upvotes: 1 ## Comments ### Comment 1 The GIS piece is the part that quietly eliminates most of the generic options, so I'd start there and work backwards. Plenty of tools will happily shuffle your geometry columns around as dumb blobs, and then you realize they can't reproject, can't do a spatial join, can't validate topology, and you're back to scripting the spatial bits in PostGIS anyway. PostgreSQL and REST are the easy part, basically everything handles those. So the real question is how much actual spatial processing needs to happen inside the pipeline versus just moving spatial data from A to B. Which one is it for you? ##### Comment Metadata - Posted at: 14 days ago ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: about 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4