Data Integration Service. ETL and ELT. Simplified. Starting at $0/mo.
Xplenty ETL and ELT platform lets you quickly and easily prepare your data for analytics using a simple data integration cloud service. Xplenty’s point & click interface enables data integration, processing and preparation without installing, deploying, or maintaining any software.
Xplenty seamlessly connects with a large variety of data stores: relational databases such as Heroku Postgres, PostgreSql, MySql, Amazon RDS, Google Cloud SQL, ClearDB, MariaDB, Microsoft SQL Server. NoSql data stores such as MongoDB, MongoLab, Compose, MongoSoup. Cloud Storage such as Amazon S3 and Google Cloud Storage. File Storage such as HDFS and SFTP. Web Services such as Google Analytics, Google AdWords, Hubspot and Mixpanel. Xplenty also supports all Web Services that are accessible via Rest API.
Xplenty connects with Amazon Redshift and Google BigQuery, so you can easily integrate and process your raw data and move it to Amazon Redshift or Google BigQuery for analytics and further querying. This way you can enjoy the capabilities of a cloud data integration service as well as cloud analytics with pre-built connectivity to the major data-warehouse-as-a-service products from Amazon and Google.
Xplenty lets you implement a wide range of data transformations, out-of-the-box, without coding anything: integrate data from multiple sources into a single data pipeline, aggregate, filter and sort data sets, apply complex functions to your data, 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.
Xplenty data inputs and outputs can integrate with a variety of logging, visualization and analytics tools, including Segment, Papertrail, Loggly, Chartio, Looker, StatsMix and many others.
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.
Run your data processes when you need it, or schedule it for regular execution intervals
The available application locations for this add-on are shown below, and depend on whether the application is deployed to a Common Runtime region or Private Space. Learn More
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To provision, copy the snippet into your CLI or use the install button above.