Data Processing on The Cloud
Hassle-Free Analytics on Your Data
Xplenty lets you quickly and easily prepare your data for analytics. Xplenty’s point & click interface lets you perform a wide range of data transformations – from simple to sophisticated – and on any dataset size, including big data (we have Hadoop under the hood, but don’t worry about that…).
Data Output to Analytics Data stores
Xplenty seamlessly outputs data to a variety of data warehouse stores, such as Amazon Redshift, Google BigQuery, SAP HANA and MySQL. And of course you can easily store back in your favorite NoSQL data store, relational database or cloud storage.
Get the Most Out of Your Data
Xplenty gives you all of the capabilities you need to perform data transformations for a wide variety of analytics use cases, such as clickstream data analysis, weblog analysis, funnel analysis, user segmentation, AWS CloudFront data analysis (we have a package template for that), and pretty much any other analytics use case you can come up with.
Wide Range of Data Transformations
Xplenty lets you implement a wide range of data transformations, out-of-the-box: combine and integrate data from multiple sources into a single data pipeline, aggregate filter and sort data sets, IP2Location functionality, automatic User Agent string parsing, automatic Query string parsing, date math and string functions, rank and sample data sets, clone and unify data sets and data pipelines
Seamless Data Ingestion
Xplenty can easily ingest your relational, JSON and key-value data from a variety of data stores, including MongoDB, PostgreSQL, Amazon RDS, MySQL and many more. Xplenty works particularly well with cloud storage such as Amazon S3.
Ad-hoc and scheduled job execution
Run your data processes when you need it, or schedule it for regular execution intervals
Out-of-the-Box Third-Party Integrations
Xplenty data inputs and outputs can integrate with a variety of logging, visualization and analytics tools, including Papertrail, Loggly, Chartio, StatsMix and many others.