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A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Now stored at https://github.com/gregorydgraham/DBvolution
Available from Maven Central: nz.co.gregs.dbvolution
Makes relational data easy and fast to use with semantic annotations and encapsulated datatypes.
Simple declaration of a DB table:
@DBTableName("mytable")
public class MyTable extends DBRow {
@DBColumn("numeric_code")
@DBForeignKey(Code.class)
private DBNumber numericCode = new DBNumber();
@DBColumn("uid_mytable")
@DBPrimaryKey
@DBAutoIncrement
private DBNumber uidMyTable = new DBNumber();
}
Easy Gets:
List<MyTable> myRows = myDB.get(new MyTable());
MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904);
Natural and Outer Joins and Criteria:
CarCo carCo = new CarCo();
carCo.name.isLiterally("GM");
List<DBQueryRow> results = myDB.get(carCo, new Marque());
dbQuery.addOptional(new CarModel());
Easy debugging:
query.getSQLForQuery();
Simple processing:
db.print(query.getAllRows());
List<Marque> marques = query.getAll
Easy, flexible, extensible, Java object persistence without the need for XML binding files or other configuration.
Contains a semantic model that facilitates going from Object to any representation (XML, JSON, Database, etc) and back.
See Wiki for Overview and Quickstart.
The power provided by OWL reasoning engines can be translated into Java applications and vice versas with this framework. A binding among OWL and Java concepts has been done in order to incorporate the semantic features of OWL into Java.
The project implement a framework of modular compilers that allows compile time programming for .NET, Java and other platforms. Languages on this framework are multi-paradigm and can be extended by programming new semantic structures or DSL.