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GDAL Reviews & Product Details

The Geospatial Data Abstraction Library is a computer software library for reading and writing raster and vector geospatial data formats, and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.

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GDAL Reviews (18)

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Parthesh B.

Geospatial Consultant

Enterprise (> 1000 emp.)

7/8/2021

"The master library for almost all GIS needs"

5/5

What do you like best about GDAL?

The support for different file formats, support for major programming languages- Python, Java, C++. You can access almost any format of GIS file usimg GDAL Review collected by and hosted on G2.com.

What do you dislike about GDAL?

Documentation could be still better especially for Python. Also some of the GDAL processes can use multiprocessing to get quick results in case of multi core processors. Review collected by and hosted on G2.com.

Recommendations to others considering GDAL:

For installing GDAL on Python, better to use Anaconda conda command with gdal package. OSGeo is a good source to install gdal uutilities along with QGIS and othwr open source GIS software Review collected by and hosted on G2.com.

What problems is GDAL solving and how is that benefiting you?

I have done almost all kinds of raster and vector analysis with GDAL. E.g. Network Analysis, Flood analysis, Raster manipulations, gdal translate, gdal retile to generate tiles from DEMs and much more. When you talk of open source GIS, you cannot ignore GDAL as it is the foundation of almost all the open source GIS software. Review collected by and hosted on G2.com.

Neeraj S.

Senior Data Analyst

Mid-Market (51-1000 emp.)

7/9/2021

"GDLA CLI"

4.5/5

What do you like best about GDAL?

most of the time use GDAL CLI and it was very easy to customize the script make as per our requirement Review collected by and hosted on G2.com.

What do you dislike about GDAL?

should have to work on the performance side for the huge size of data, it took much time to process a large set of raster/vector data. that should improved Review collected by and hosted on G2.com.

SHUBHAM S.

Senior Remote Sensing Scientist

Mid-Market (51-1000 emp.)

6/30/2021

"GDAL is used extensivelyby me in my work and it is a very vital part of my workchain."

5/5

What do you like best about GDAL?

All GDAL based utilities are really great, especially raster based utilities are awesome. Even, I have fully automated and shifted the ArcGIS based workflow to GDAL based workflow for MODIS data.Highly satisfied with GDAL and it has become part of my skillset. Review collected by and hosted on G2.com.

What do you dislike about GDAL?

Nothing as such. But gdal_calc should be provided as a function in newer versions of GDAL as other utilities such as gdal_warp and gdal_translate are available in the form of gdal.warp and gdal.Translate. As gdal_calc.py provides a very great raster calculator. Review collected by and hosted on G2.com.

Recommendations to others considering GDAL:

A must use library for remote sensing, I have worked extensively on remote sensing data with gdal and really it was a great experience developing software using it. Review collected by and hosted on G2.com.

What problems is GDAL solving and how is that benefiting you?

All Remote sensing based problems have been solved with GDAL ,further I have seen the library evolving for the last 5 years. I have extensively utilised it for Synthetic Aperture Radar Image processing. Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Mid-Market (51-1000 emp.)

7/24/2022

"universal translator for your spatial data"

5/5

What do you like best about GDAL?

GDAL definitely become an important part of spatial data management software due to its capability to convert from one format to another format both in raster and vector Review collected by and hosted on G2.com.

What do you dislike about GDAL?

since GDAL is a library hence working in the background, usualy people does not feel their presence and contribution Review collected by and hosted on G2.com.

Bipin K.

Software Engineer (GIS)

Small-Business (50 or fewer emp.)

7/6/2021

"GDAL: Make your geospatial automation journey simpler"

4.5/5

What do you like best about GDAL?

Comand line GDAL/OGR Commands. Customizable Review collected by and hosted on G2.com.

What do you dislike about GDAL?

Installation in windows seems more complex Review collected by and hosted on G2.com.

Anup D.

Web GIS Developer

Mid-Market (51-1000 emp.)

7/17/2021

"Gdal is one of the best open source software to work with raster and vector data."

5/5

What do you like best about GDAL?

It helps me to read, write and manipulate the vector and raster data. It supports all the OCG standard GIS files. Review collected by and hosted on G2.com.

What do you dislike about GDAL?

It's a bit challenging to learn, especially in the initial phase. But once we get its concept, it is worth remembering. Review collected by and hosted on G2.com.

Recommendations to others considering GDAL:

Before using GDAL, one should know different types of GIS data formats, remote sensing, coordinate and projection system, Data storage, Image Processing, and the most important is to begin familiar with the basis of Geographic Information System. Review collected by and hosted on G2.com.

What problems is GDAL solving and how is that benefiting you?

I am a gis developer, and I mostly used GDAL python binding to read and write the different gis files. I also used it for changing the projection of the gis files and converting on type of gis files in other for a different purpose. Review collected by and hosted on G2.com.

Tilok C.

RS Executive

Small-Business (50 or fewer emp.)

6/20/2021

"GDAL: Simple and Swift, I use it often for batch processing spatial data"

4/5

What do you like best about GDAL?

GDAL is a time-saver, and I use it quite often in my research work. To perform some of my tasks I prefer GDAL for Raster data processing: Raster Algebra, Building Raster vrt layers. The best and my favourite is to extract subdatasets using -sds command which I use to extract MODIS data products and it's simple and quite fast. Review collected by and hosted on G2.com.

What do you dislike about GDAL?

A great combination to work in QGIS and OSGEO shell. As I am exploring it, I haven't found any notable which I dislike Review collected by and hosted on G2.com.

Recommendations to others considering GDAL:

Go on explore opensource GDAL Review collected by and hosted on G2.com.

What problems is GDAL solving and how is that benefiting you?

Reprojecting: gdal_translate

Extracting sub-datasets

Creating virtual layer

Converting raster to other formats.

To perform these tasks, I am using GDAL and still exploring to ease my job. Thank you, team GDAL. Review collected by and hosted on G2.com.

Verified User in Architecture & Planning

Enterprise (> 1000 emp.)

8/14/2021

"Most recommended and a must have open source tool for all GeoSpatial users and developers alike."

5/5

What do you like best about GDAL?

It is the Swiss Army knife for all GeoSpiatal user.

It has all required capabilities for conversion of formats.

It has capability to read most of the know data formats.

It also bundle with GUI OSGEO4w and QGIS which allows more flexibility.

It has extensibility and expansion capabilities as a developer using in projects with support to GEOS(JTS) and now docker support is also available. Review collected by and hosted on G2.com.

What do you dislike about GDAL?

All extensions of GDAL don't come prebuilt.

Some of the extension are commercial libraries, which bring complexity for license.

It has some learning curve as new person will not understand all capabilities on first go.

Being command line on core might scary some people.

It has no native GUI. Review collected by and hosted on G2.com.

Recommendations to others considering GDAL:

One of the best opensource library/ tool for GIS based usage. Review collected by and hosted on G2.com.

What problems is GDAL solving and how is that benefiting you?

I have used it in multiple solutions most in from of library like desktop, web and as well as server level processing. I have self compiled this for custom build version for enabling support to some propertiory library.

As a C/C++ developer I have seen huge benefits on it's ability to create custom applications using this library like ETL based approach from Custom data format to Enterprise level DB's and back. Used the GDAL based part to build imagery based conversion. And vector based translation on spatial selection to other physical data.

Additionally, as commercial software like Autocad and ArcGIS also use this library shows how power packed is this library, Review collected by and hosted on G2.com.

Muhammed Sirajul H.

Senior Data Scientist

Small-Business (50 or fewer emp.)

7/8/2021

"Very good for remote sensing satellite analytics projects"

5/5

What do you like best about GDAL?

GDAL's raster image processing libraries helped me to develop satellite analytics tools. especially Its raster cropping, raster value extraction, and mosaicing packages available in python language are very helpful. Review collected by and hosted on G2.com.

What do you dislike about GDAL?

I used to get dependencies for GDAL while installing. Which comes in different versions for new python versions like 3.8 and 3.9. Hence many times I received errors while installing and failed to install and had to look at some other raw implementation for the tasks. Review collected by and hosted on G2.com.