Integrate MongoDB to Amazon Redshift
MongoDB is the leading open source NoSQL database for operational storage of Big Data. Leveraging JSON files and dynamic schemas, it makes it fast and easy to integrate data from certain types of applications with features of key/value stores, document databases and relational databases.
Xplenty allows you to quickly connect to MongoDB data stores and integrate it with other data sources. Using Xplenty's intuitive point and click interface, it's easy to process and prepare data from MongoDB for your analytics purposes.
Integrate MongoDB to Amazon Redshift
Software Engineer, Pocketzworld
Syncing MongoDB into Redshift is difficult. Xplenty makes it easy. The Xplenty GUI allows us to define custom transformations, which are vital when preparing NoSQL data for SQL-based processing. At first we tried building our own ETL pipeline, then we evaluated 5 other ETL vendors - and Xplenty was by far the most reliable, affordable, and easy to use. If you need to analyze your MongoDB data using Redshift, start here.
Xplenty and MongoDB
With Xplenty's integration, you can use MongoDB to store and query data, and Xplenty to process and analyze it. Xplenty can import data right from MongoDB, and integrate it with other data stores, without the need for any coding or deployment. The processed data can easily be stored wherever required, whether back on MongoDB, cloud storage, or a relational database.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.