Brent,
On Tue, May 7, 2019 at 12:42 PM Brent Wood <pcreso@xxxxxxxxx> wrote:
I have not used SS for spatial data, but I don't have a Postgres database without Postgis installed. The OSGEO ecosystem and synergies with other FOSS GIS tools is fantastic.And it does not stop with the Postgis extension. For time series data (anything from fleet management to sensor data) Postgres has the (new) TimescaleDB extension. I ran this very effectively with a 600,000,000 record database of sensor readings from a research vessel - on a $400 laptop (with an SSD) for testing/prototyping. The sensor data was stored in Timescaledb Hypertables & the location data in Postgis geometry columns in those tables. Significantly better performance than native Postgres.
Excellent information with impressive numbers.
Also consider language support for database functions... pl/R supports some very nice capabilities, especially supporting websites. Instead if running a Postgres query to return the data to plot via the web page, or storing static plots in your CMS that need updating when you get new data, you can use Postgres functions in pl/R to render the plot of the data in a file, and return the name of the file. The web site does no rendering, just invokes the SQL & displays the file that is returned. So the DB can return the data and/or the graphic. Back up your database & back up your functions. This paradigm can work very effectively...
Is there any tutorial/example code for rendering pl/R images on a website? Cool feature
Generally, the FOSS ecosystem around Postgres offers an incredible array of tools and capabilities that I don't think any other db - FOSS or not - can provide. I have had limited exposure to Oracle, SQL Server, Sybase, Empress, Teradata, Netezza, DB2, Sqlite/Spatialite, Interbase & Informix. Of these, Postgres & Sqlite3 (which one depends on use cases) are all I use these days.
Yep. agreed.
Thanks,
Igal
On Tuesday, May 7, 2019, 5:36:00 PM GMT+12, Tony Shelver <tshelver@xxxxxxxxx> wrote:I have to agree on the geospatial (GIS) features.I converted from SQL Server to Postgresql for our extended tracking database. The SS geospatial feature set doesn't seem nearly as robust or complete or perfoirmant as that supplied by PostGIS.The PostGIS ecosystem of open source / 3rd party tools is also far bigger, for anything to do with mapping. Openstreetmaps.org stores their world dataset on Postgresql / PostGIS, and there a ton of mostly open source-based tools and organizations that work with it or any other PostGIS data to provide a complete GIS solution.My first sS implementation had me backing out of storing geographic points in the relevant SQL Server datatype as the performance hit during loading was just too big. Doing the same thing in Postgresql / PostGIS is nardly noticeable.Another feature in Postgres is that you are not restricted to just plpgsql as an internal procedural language.I am not an expert, but it also seems far easier to create, install and work with major extensions to Postgresql than SQL Server. I found installing the GIS featureset in SS to be a bit of a pain back oin the day..On Tue, 7 May 2019 at 00:53, Michel Pelletier <pelletier.michel@xxxxxxxxx> wrote:On Mon, May 6, 2019 at 2:49 PM Adam Brusselback <adambrusselback@xxxxxxxxx> wrote:I think the main "gotcha" when I moved from SQL Server to Postgres was I didn't even realize the amount of in-line t-sql I would use to just get stuff done for ad-hoc analysis. Postgres doesn't have a good way to emulate this. DO blocks cannot return resultsets, so short of creating a function and dropping it, it's not possible to get the same workflow.Just ruminating here, and this has probably already been discussed in the past, but I've always wanted something like a 'SELECT DO [LANGUAGE ...] RETURNS rettype | TABLE (...) $$ RETURN [NEXT | QUERY] ... $$; but haven't had any serious problem with creating/dropping functions like you mentioned.-MichelThe lack of GUI tooling was also a huge "whoa" moment for me, which I still grapple with.
