Learn more about Flexmonster’s data sources versatility.
The variety of data sources for Flexmonster makes it easier to find the perfect option for your project. At the same time, choosing the right data source is very important and can influence your experience with Flexmonster. So this article is here to help you make the right choice.
For years, Flexmonster performs seamless integration with Elasticsearch data source, but we keep working on it! It empowers you to unlock the full potential of Elasticsearch by creating dynamic reports and charts right within your browser.
Flexmonster requires minimum efforts to set up the configuration, and the entire process is time-saving.
Finding an analytics back-end engine for your business application is a challenge for developers and data warehouse architects.
Your choice always depends on a wide range of business, application-specific and hardware requirements which need to be considered in the early phases of the software development lifecycle.
The more data you have - the more insights you can get.
Now Flexmonster allows you to load and visualize truly massive datasets with the help of a new server-side part specially developed for our pivot table.
Our team is constantly working to improve our component and optimize its performance. Therefore, these improvements could not bypass one of our most popular Flexmonster Pivot integrations with MongoDB.
This database is rightfully one of the most convenient and functional on the market. Therefore it attracts the attention of many developers and users. No wonder it got so popular - its main features are high performance, extra availability, and easy scalability.
Given an overwhelming variety of databases, choosing the best fit for your application is not a trivial task. Different aspects of your project have to be considered to find the database that perfectly matches its requirements.
One common motivation to use Microsoft SQL Server Analysis Services is the analysis of massive datasets. OLAP cubes allow coping with much more significant data volumes than relational databases. However, many users claimed that multidimensional cubes were hard to understand, especially when designing the model.
With every new version, we do our utmost for you to enjoy Flexmonster all the more. The motto of 2.8 release is 'more flexibility, more performance, fewer limitations.'
Striving to provide you with more ways to work with our front-end data visualization tool seamlessly, we're thrilled to introduce the Flexmonster custom data source API.
There is a move towards the usage of NoSQL databases that are taking off rapidly. As proof, the MongoDB database is widely chosen by our clients.
This is not surprising as MongoDB can store huge amounts of data with little or no structure. It doesn’t limit the types of data that can be stored in one place. BSON, the format of data storing in MongoDB, allows storing arrays and other complex data types.
Being designed to process and render large volumes of data, Flexmonster Pivot Table & Charts allows you to work with a dataset of any size in a fast and robust way. All companies from small businesses up to worldwide enterprises can benefit greatly from using Flexmonster. Our component easily renders 1 million unique rows, works with OLAP data cubes and Elasticsearch. These are the unique features that distinguish our component from the rest.
