When it comes to retrieving, manipulating, and analyzing data quickly, database queries are essential.

Databases can contain an extensive amount of data. If the database is well organized and designed, the data is usually stored in tables. A database query allows you to filter through this data, pull information from the database, and display the data as a form or a report.

When you make a query, you are either requesting data results, requesting that an action be taken on the data, or both. Through these actions, you’re able to answer questions, make calculations, combine data from various tables, and add, change, or delete data from the database.

For example, a sales specialist could perform a query to discover how many products were sold in the last quarter, or an HR manager could perform a query to discover how many new hires were made in the last year.

Database query methods

Some of the methods you can use when performing database queries include query by example, relational query database language, non-relational database query language, and available parameters.

Query by example

This method can provide access to standard and basic functions. You can use query by example as a search tool or to filter data. This is an especially helpful method for those who don’t know how to use a query language.

While performing a search, you can use filters such as “greater than,” “starts with,” or “more than” to narrow the criteria down.

Relational query database language

Anyone working with large databases should consider learning and using a query database language. One of the most popular is structured query language (SQL). SQL enables you to control your data more thoroughly. It increases your efficiency and your ability to retrieve and analyze data.

Some of the most commonly used relational database languages are Oracle SQL, NuoDB, and MySQL.

Non-relational database query language

Non-relational database query languages are best for non-relational databases. Instead of the tables used in relational databases, non-relational databases might utilize documents, graphs, columns, and key values to store and retrieve data.

For this query language, you might use languages like XQuery, Data Mining Extensions (DMX), Cassandra Query Language (CQL), or Neo4j’s Cypher.

Available parameters

In most cases, you will have a list of parameters to choose from in database software. You can use these parameters to create a query.

Although this is one of the most basic methods, it offers the least amount of flexibility for creating queries.

Types of queries

Through queries, you can summarize data, combine data from various tables, adjust data, update databases, answer data-related questions, etc.

There are many different types of queries, and the type you use will depend on the task you need to complete.

There are action queries, select queries, parameter queries, crosstab queries, SQL queries, and more.

  • Action queries allow you to manipulate data. You can add, change, or delete data.
  • Select queries allow you to retrieve data from a database in the way you want the requested data displayed and filtered. This is the most basic and common type of query. Using a select query, you can retrieve data from one or more tables where it then displays the requested data in a datasheet.
  • Parameter queries are helpful when deciding on the criteria for your search. These work well with action and select queries as well. With a parameter query, you can enter the parameter values you want every time you run a query.
  • Crosstab queries make summaries of data easy to access and read by displaying two sets of values with records on the side of the data sheets and field names. Along the top of the sheet, it displays averages, calculated sums, and other options.
  • SQL queries are statements built from SQL commands. Combining these SQL commands can perform specific tasks in a database, such as accessing, managing, modifying, updating, controlling, and organizing stored data managed from a database management system (DBMS).
The Power of Popdock Queries

Popdock stands out as a powerful tool that takes querying data to another level. With its robust query engine, Popdock empowers users to seamlessly tap into various systems, even those lacking efficient native options for data querying.

Versatile System Connectivity

Popdock’s query engine allows users to connect to a multitude of systems, expanding beyond the limitations of conventional options. Whether dealing with diverse databases or unconventional data storage structures, Popdock allows users to effortlessly query data across different platforms.

API Integration and Advanced Filtering

One of Popdock’s key strengths lies in its ability to connect to APIs, offering users a direct pathway to query data. The platform’s filter options enhance the querying experience by providing end users with advanced filtering capabilities.

Querying Multiple Systems Simultaneously

Popdock sets itself apart by enabling users to query multiple systems concurrently. This includes options for joined lists, merged lists (e.g., compiling orders from various online sales locations into a single report), or comparative lists that analyze different datasets.

Empowering Non-Developers and End Users

Popdock has a user-friendly interface, providing non-developers and end users with the capability to perform complex queries without relying on IT support. This flexibility of data querying reduces dependency on technical personnel, empowering users to extract valuable insights independently.

Getting Started with Query Builder

Tune into this quick video to learn more about the Query Builder:

Have questions?

Do you have more questions about the different types of queries? Do you want to know how eOne tools can help you perform queries? Contact our sales team at sales@eonesolutions.com or 888-319-3663 ext. 1 for more personalized help answering your questions.