Integrate Amazon Aurora to Mention
Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Integrate Amazon Aurora to Mention
Why We Like Amazon Aurora
MySQL Compatibility
Aurora is compatible with MySQL, meaning that applications, drivers and code that rely on MySQL can be used in Aurora quickly and easily.
Self-Healing
Aurora performs automatic error scans of data blocks and disks so that fewer problems or mistakes go unnoticed.
Cost-Effective
The service is pay-per-use, meaning that you only pay for what you use and that you have the option to scale as your company grows.
Secure
The database engine encrypts everything - including data that’s in transit, automated backups, snapshots, replicas and data at rest - through the AWS Key Management Service for advanced data security.
Xplenty and Amazon Aurora
Xplenty's data integration service can read data from and write data to Amazon Aurora securely and easily, allowing users to transform and load data directly from any data store into an Amazon Aurora instance. That means more accurate data, comprehensive analytics and helpful business insights - with no extra footwork.
Popular Use Cases
Xplenty can extract any data that you need from Mention. Here are some of our most popular use cases:
Accounts
Create or modify a Mention user account, including the user’s contact info, how often they receive alerts and what kind of access they have to the data on Mention. This allows you to ensure that users can operate as efficiently as possible and interact with Mention in a way that creates the best workflow for them.
Mentions
Retrieve a list of mentions that have been tracked by your alerts, which can be filtered by a number of parameters including source, date range and tone. This query then returns details - like description, source and author’s influence score - about the relevant mentions, allowing you to gauge if the mention warrants a response.
Alerts
Define the parameters of an alert, such as the alert’s name, query terms and tracked sources. Then, retrieve data about the mentions that have triggered the alert, including how many mentions there are and how important it is to respond to them.
Tags
Design tags, which can be used to filter responses generated by your alerts. Once a tag is created, you can either fetch all the Mentions with that tag in them or use the tag as one of many parameters to filter queries about the mentions in an alert.
Why Our Customers Choose Xplenty
Ownership
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.
Control
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.
Reach
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.
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