Hi i got a new requirement i.e
I want manipulate my spatial data in GeoServer.
is there any way to connect geo server with orient db.
as I know that geo server support few data bases .
GeoServer has no connector for OrientDB (not an official one in the geoserver.org community at least).
That said, it should be possible to develop one mimicking the existing stores for existing spatial databases.
Related
I am new to stack overflow and database systems - looking to build a simple recommendation system using polyglot persistence in Neo4j and MongoDB. I am using mongo-connector and neo4j doc manager to actively push data from MongoDB to Neo4j. I am unable to control how the MongoDB data is being pushed to the neo4j and not being able to have this graph structure in Neo4j:
.
What should be the appropriate document and collection in the MongoDB? OR
How to design a simple course recommendation system using MongoDB and Neo4j?
Thank you!
I'm very new in the world of "NoSQL", Recently I started using Cosmos DB for JSON documents and am able to store and get data using CosmosDB "SQL" and "Mongo" API.
Which API is best for me? (requirement: Performance, Low Latency, Huge Collection, Low cost)
Now I have spent more than 6 months with Cosmos DB project. I can give my opinion on this question.
Azure Cosmos DB offer the same feature with SQL API vs Mongo API, hence you can't compare by feature.
Reason using Mongo API in Cosmos DB
If you have existing Mongo DB database and you want to migrate on Azure.
If you or your team members have Mongo DB experience.
If you are developing cloud agnostic application, you can move your application on-premise or any other cloud vendor.
Reason using SQL API in Cosmos DB
If you have SQL query experience, it would be easy to start.
If you are not looking cloud agnostic application. (can't move Cosmos DB application on-premise or other clouds vendors).
Cosmos DB Change Feed only available with SQL API.
--- UPDATED 2020 ---
Change Feed is available for all the APIs across all available SDKs except the Table API
Both the API’s provide you high throughput, low latency, elastic scale, geo-replication, etc.
It boils down to what you are comfortable with. Many people preferred Mongo, as they are already familiar with Mongo, it’s syntax, tools, and they already had an application built on Mongo which they migrated to CosmosDB.
If you are starting new, and don’t have an existing investment in Mongo, I will suggest starting with SQL. SQL is the oldest API of CosmosDB, and more battle hardened.
As a software engineer using MongoDB API. I can confirm that my team and I suffered when handling 426 code errors from CosmosDB. So we end up developing our own custom solution with Polly to handles these throttles. Whereas if we used SQL API we would have access to CosmosDB sdk which pretty much handles these situations. This is just my feedback.
I know you can connect Tableau to Marklogic by modelling your Marklogic data as a SQL view and connecting through the ODBC connector in Tableau.
We have had problems using this approach to connect our ML data to Tableau as our MarkLogic databases have tens of millions of documents(mapped to rows in the view) and the Tableau ODBC connector times out trying to import this data. Has anyone experienced similar issues and know of a workaround while still using the MarkLogic SQL views?
I have read that it also possible to connect to Marklogic from Tableau using the web data connector although I cannot find much detailed documentation on this and Marklogic seem to push the SQL/ODBC connector as the way to connect to Tableau. Is this a better option? Does anyone know where there is detailed documentation on this?
Finally, we have been able to extract the ML data into a text file and import that into Tableau. We can use this approach going forward but would prefer to connect directly from Tableau to MarkLogic. Any comments on whether that should be possible given our MarkLogic DB sizes would be appreciated!
Thanks
I have MongoDB on Windows and it seems the MongDB BI Connector is not available for Windows.
Will it be made available so I can use e.g. Tableau to analyze my data?
MongoDB team has made MongoDB Compass to visualise data
If you wish to use their payed tool then it's a solution.
(it's free for evaluation and development )
Compass is a great tool, but it's more about data exploration and maintenance than visualisation. While it does show some basic graphs, these are limited to showing the spread of data across a schema.
For a more complete MongoDB data visualisation solution, check out MongoDB Charts. Charts is a first-party MongoDB tool designed to visualise data from your MongoDB collections. You can create charts with a drag and drop interface, arrange the charts onto your dashboards, and embed them into your own applications without code.
Charts is available as a part of MongoDB Atlas, or it can be installed as an on-prem server.
I've been using Geoserver with a postgis datasource but I was thinking of switching over to a NoSQL solution for storing my geospatial data since the schemaless nature of NoSQL databases fits my application well.
However, it seems that most mapping applications that I've come across (geoserver, mapserver) don't have support for NoSQL datastores. The closest thing I've come accross is couchmaps
Has anyone used NoSQL for mapping? If so, what tools have you used? What I'm looking for in particular is an application that can serve WMS and WFS requests using a NoSQL datastore.
for GIS data and Search in Nosql MongoDB is suitable for you because mongodb itself provide facility to store and search for GIS data.
read more at here
I am interested in the same issue, and it seems that GeoServer is ready to work with MongoDB as seen in http://www.mongodb.com/presentations/mongodb-geoserver.
I hope this could help you too, http://boundlessgeo.com/2014/06/mapping-worldcup-opengeo-suite-mongodb/ . It explains how to configure the connection between GeoServer + MongoDB and how to add a layer using geotweets as source information.