Table of contents
Speed
Manifold is known for its high-performance capabilities, enabling rapid data processing and visualization, even for large datasets.
Scalability
The software efficiently handles a wide range of data sizes, from small datasets to extensive geographical information systems (GIS), without compromising performance.
Integrated Tools
Manifold offers a comprehensive suite of integrated GIS tools, allowing users to perform various analytical tasks within a single platform.
Cost-Effective
Compared to other GIS software, Manifold provides robust features at a relatively lower cost, making it accessible for small to medium-sized enterprises.
Cross-Platform Support
Manifold can run on various operating systems, including Windows and Linux, providing flexibility in the choice of deployment environments.
Manifold is considered a good platform for those interested in prediction markets and interactive forecasting. It caters well to data enthusiasts and those looking to engage in a community-centric forecasting tool.
We have collected here some useful links to help you find out if Manifold is good.
Check the traffic stats of Manifold on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Manifold on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Manifold's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Manifold on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Manifold on Reddit. This can help you find out how popualr the product is and what people think about it.
Manifold v9 is much more reasonable and highly capable for dealing with merging image files and exportation to ecw. It is even better than that route in leaving it in the manifold project format. IYKYK. Manifold.net. Source: over 2 years ago
Low cost: Manifold. There's a new web/map server that's now part of the GIS for Universal and above editions, $195. If you have a Windows machine that has an externally visible IP (static IP on Internet, or visible IP in your internal network), just install the 31 MB download for Manifold, create the map you want in the usual desktop way, and then it can automatically serve that in a WYSIWYG way using a default... Source: over 2 years ago
Only if you use lower quality software. Some software, including some GIS software, you can use every day, all day for 20 years and not expect to see a crash, not even once, no matter how complex the task. PostgreSQL is like that and for desktop GIS software, Manifold. Source: over 2 years ago
An easy way is to use Manifold. The Merge Images dialog which merges any stack of rasters will merge two different DEMS in a couple of clicks. The dialog's page has links to detailed examples and a video showing how to merge DEMs. Source: over 2 years ago
Manifold Release 9 - it has a Join dialog that makes this trivial for almost any size data set. Takes a few clicks and less than a minute. Here's an illustrated, step-by-step example with an example video here. Source: over 2 years ago
There are plenty of SQL options in GIS. I used Manifold Release 9 for the above because it has an exceptionally handy SQL in a desktop package, and there is an SQL for ArcGIS Pro version of it for Pro. Source: over 2 years ago
I use the GIS itself to track such data sets, as a personal information manager. I use Manifold, which has very strong ability to work with tables, such as selection, ability to launch an app against a reference in a table, etc. That lets me search and organize using a variety of attributes. For interoperability, I can export the table to any common format, like SQLite or whatever. Source: over 2 years ago
If you're not hung up about doing it "within" Pro but just want to leave your data in the GDB (if your Pro data is in a file geodatabase), you can also do it in Manifold, which uses Esri code to connect to geodatabases. You can use real SQL or the point-and-click Join dialog. There are dozens of step by step videos and examples showing how to use the Join dialog. Using that dialog it's really hard to screw up... Source: over 2 years ago
Traverses in Manifold. You can use the free Manifold Viewer to do the same thing. Manifold's traverses capability lets you work with traverses interactively, seeing how changes you make alter the shape of the parcel you're building. That helps avoid errors and cuts some of the mystery out of the process. It will also allow you to create parcels from a traverse file or list of instructions (the way most... Source: over 2 years ago
Manifold Release 9. It's famous for never crashing. You really can expect to run it for many years every day without seeing a crash. Source: over 2 years ago
I prefer Manifold, which is $145 to own forever. It is more modern (fully parallel, for example) than either Pro or Q, with more power for larger data sets. Some people say it is easier to learn, but I think that comes down to your willingness to read documentation and watch videos. If you can do that, all three are about the same: steep learning curve in the beginning. All three packages have thousands of... Source: over 2 years ago
Use Manifold. Georeferencing in Manifold is lots easier with less to go wrong. There are videos on that linked page that do an apples to apples comparison to the Esri ArcUser example for how to georeference a drone photo in ArcGIS Pro. Source: over 2 years ago
For work like this you can use PostgreSQL/PostGIS or some other spatial SQL tool. I prefer Manifold because it's only 30MB and often quicker for relatively small data like this and it has good parallelization in its spatial SQL. I can either do it brute force and know it won't crash, or I can write a spatial SQL query that takes advantage of what I know about my data and my goals (same for PostgreSQL/PostGIS, of... Source: over 2 years ago
Manifold is much faster than either Arc or Q, both with creating DEMs from LiDAR and also doing contours. Published LiDAR data tends to be bigger data, and it's vector data, not a DEM, so creating a DEM from published LiDAR data is not something to take for granted. Manifold is so fast that even if all you want is LiDAR data for a 100 acre parcel it's no big deal to get a whole county's worth and work with that... Source: over 2 years ago
Not so. Manifold uses massively parallel GPU throughout for computation and processing. It was designed from the ground up to do both CPU parallelism and GPU parallelism everywhere, including within SQL. Source: over 2 years ago
For example, here's a step by step illustrated example how to do exactly what you want in Manifold. You can do exactly the same thing in the free Viewer. Source: over 2 years ago
Use Manifold, which has a very easy to use join dialog that works with larger data sets (the data you're using is tiny for Manifold). You can also do this in the free Viewer to verify, for free, this does what you want. Source: over 2 years ago
Sounds like you're tied to Pro. If not, just store your raster data as GeoTiffs and visualize it with Manifold. Even better, store it as a native Manifold .map project: Manifold will open a project with 500 gigabytes worth of TIFF images in 1/2 second and display a map window with all those images in another 1/2 second, panning and zooming instantly. Source: over 2 years ago
Use Manifold. It can do visibility/viewshed analysis with huge terrain elevation data and still run very fast (it's parallel). The free Viewer does the same thing and is also parallel. Source: over 2 years ago
There are a few avenues for this, though the animation of the 'phone' moving may be tricky. For quick learning of what GIS is, download Manifold Viewer (from manifold.net) It is free, runs on windows and you can quickly figure out the latitude/longitude points, lines, areas part of it. This will help educate. I don't have a solution for showing the movement of these entities. good luck. Source: almost 3 years ago
Precise details of how you do the above depends on how you want attributes to be treated and the tool you are using. I did the above illustrations with Manifold using the point and click Select and Transform panes. You can do those directly in Pro using the SQL for ArcGIS Pro addin, either using point and click panes or using SQL. Source: almost 3 years ago
Manifold GIS has steadily carved a niche for itself in the domain of Geographic Information Systems (GIS), offering significant performance and cost advantages. Public opinion and expert assessments provide a robust picture of its strengths and potential areas for improvement.
Manifold is particularly renowned for its exceptional performance, especially when handling large datasets. Users consistently highlight its rapid processing abilities, which stem from its efficient use of parallel processing—both CPU and GPU. This makes it an ideal choice for companies dealing with vast spatial datasets, as it significantly reduces processing times compared to competitors like ArcGIS Pro and QGIS.
Another notable feature is its competitive pricing. A fully paid Manifold Professional license is available for just $145, which is a fraction of the cost of many other professional GIS software applications. This affordability positions Manifold as an attractive option for both small businesses and large enterprises seeking to minimize software expenses without compromising on capabilities.
Manifold's connectivity options are also widely praised. It supports a variety of data sources, including file databases, web servers, and enterprise-class DBMS installations, making it highly versatile for users working with diverse data formats in spatial engineering and GIS.
Manifold is commended for its intuitive interface, which facilitates a steep learning curve at the outset. Users appreciate the straightforward user experience, which is bolstered by features like the Join and Merge dialogs. These tools are designed to simplify complex operations such as merging datasets or conducting spatial joins.
Its programmability and support for 64-bit processing allow for extensive customization, enabling advanced users to optimize their workflows further. This degree of flexibility is often compared to offerings like Esri's ArcGIS, but without the hefty price tag.
Despite these strengths, public opinion does note a few areas where Manifold could improve. Some users mention a learning curve associated with fully leveraging its capabilities, although this is a common trait shared with other sophisticated GIS platforms. The availability of comprehensive documentation and tutorial videos does mitigate this to a degree, yet some users emphasize the need for committed study to master the platform.
Moreover, while Manifold is celebrated for its efficiency and reliability—it is frequently noted for never crashing, unlike some competitors—users sometimes express a desire for more features available in mainstream GIS software. However, given its continuous development, Manifold appears committed to evolving its offerings.
Overall, Manifold is perceived as a high-performing, cost-effective alternative to more expensive GIS software. Its superior processing power, affordability, and connectivity make it a compelling choice for organizations and individuals dealing with extensive and varied spatial datasets. While the learning curve is acknowledged, the platform's capabilities and stability offer significant benefits to its users, particularly those tired of software crashes and long processing times. As GIS needs diversify, Manifold's adaptability and ongoing enhancements bolster its reputation as a formidable player in the GIS industry.
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