Xplenty

San Francisco, CA, USA
2012
Jan 14, 2021   |  By Abe Dearmer
The key differences between Talend, MuleSoft, and Xplenty: Enterprise data volumes are increasing by 63 percent per month, according to a recent study. Twenty percent of organizations draw from 1,000 or more data sources. How do these companies extract and move all this data to a centralized destination for business analytics? As we know, Extract, Transform, and Load (ETL) streamlines this entire process. But smaller organizations lack the coding skills required for successful implementation.
Jan 13, 2021   |  By Abe Dearmer
A developer's primary job is to work seamlessly, rapidly, and accurately to create software, apps, or websites that match business requirements. Unfortunately, there is a huge margin for error if you have to write lines and lines of complex code. Additionally, many basic tasks in the use of data-related software and other solutions, require extensive coding knowledge that many employees simply don't have. One solution to this is low-code software and development.
Jan 13, 2021   |  By Abe Dearmer
2020 has been a rough year for data security. The rapid transition from in-office to remote work environments increases attack opportunities for cybercriminals, and they’ve taken full advantage of the situation. Panda Security reports that the cyberthreat landscape has increased significantly due to COVID-19, and ReedSmith says that scams have increased by 400 percent.
Jan 12, 2021   |  By Mark Smallcombe
Poor quality data leads to many problems in your organization. You could have massive overhead from duplicated records, lose out on sales because of inaccurate addresses, and provide a poor customer experience. Data cleansing tools address these issues and help you keep your data quality high. We used G2 to select the tools for this top list.
Jan 9, 2021   |  By Mark Smallcombe
Personal Identifiable Information (PII) has become a headache for most digital-first businesses in recent years. Everyone agrees we need rules to keep personal data safe, but there’s no universal PII Data Protection Act we can all follow. Instead, there is a worldwide patchwork of regulations, many of which have global implications. Sweden is one of the pioneers in data security laws.
Jan 8, 2021   |  By Abe Dearmer
The key differences between Stitch, Jitterbit, and Xplenty: The average business pulls data from 400 different locations, which makes it tricky to generate valuable data insights. Data-driven organizations use an Extract, Transform, and Load (ETL) platform to pull all this information into a data lake or warehouse for deeper analysis. However, many businesses lack the technical skills (like coding) to facilitate this process. The three tools in this review make ETL workflows easier.
Jan 6, 2021   |  By Satwik Kansal
Along with the functionality to make HTTP requests, Xplenty provides various Curl functions and advanced features that can be beneficial in certain use cases. This article covers the Curl functions and features in addition to providing a step-by-step demonstration.
Jan 5, 2021   |  By Donal Tobin
Cybercriminals are currently enjoying a golden age. The sudden shift to remote working, combined with the digitization of everyday life, means endless opportunities to compromise systems and access sensitive data. If you don't want your organization to be their next victim, you must have to know how to prevent data breaches.
Dec 29, 2020   |  By Xplenty
During data analysis in SQL, one will often need to look at multiple tables and join them to get the desired results. Joining tables for analyzing data is a required skill for a data scientist or data engineer. Selecting the right join will optimize query performance.
Dec 28, 2020   |  By Abe Dearmer
The main differences between Alooma, MuleSoft, and Xplenty: Data-driven organizations pull data from multiple locations such as in-house databases, SaaS, and cloud-based apps, making it difficult to determine accurate business insights. Moving all this information into a single location makes data analytics easier. This is where Extract, Transform, and Load (ETL) comes in.
Dec 3, 2020   |  By Xplenty
Teri will demonstrate how to build a data pipeline that helps a health organization cleanse and mask their sensitive PII data, before centralizing it in a Mongo database which is optimized for handling large data volumes.
Nov 24, 2020   |  By Xplenty
We asked Bill Heffelfinger, the Director of Client Technology Solutions at CloudFactory, what he likes best about using Xplenty for his data. Here are his answers!
Oct 23, 2020   |  By Xplenty
In this tutorial, Satwik takes us through how to use the REST API connector in Xplenty.
Oct 23, 2020   |  By Xplenty
In this tutorial, Satwik takes us through how to use the Xplenty workflows feature.
Oct 23, 2020   |  By Xplenty
Try Xplenty now to discover how you can manage Salesforce with its two-way connector.
Oct 21, 2020   |  By Xplenty
An ETL Journey From Staging to Production: See a demonstration of how to create a successful workflow. Renee, Xplenty's Technical Success Engineer, is going to walk you through workflows and how it's easier and faster than pulling data from multiple sources, by using staging tables and production tables.
Sep 28, 2020   |  By Xplenty
A talk by David Masri Founder & CEO, Gluon Digital David Masri founded Gluon Digital in 2020 with the goal of promoting data migration and integration best practices to the Salesforce Ohana. Prior to founding Gluon Digital, Dave has spent years working with data and with Salesforce. He has been involved in dozens of Salesforce data migration and integration projects and has used that experience to run numerous training programs for aspiring integration/migration specialists, and then ultimately authored his book on the subject.
Sep 24, 2020   |  By Xplenty
This demonstration with show you how to prepare and load data to Salesforce, using Heroku Postgres and Heroku Connect.
Sep 24, 2020   |  By Xplenty
This is part 2 of a 2 part demo. In this demonstration, you will learn how customers use Xplenty with Heroku Connect. See an example of how customers who use Heroku Connect can leverage Xplenty, to quickly and easily extend the benefits of Heroku Connect's bi-dirrecitonal sync to Salesforce out to data sources and data stores.

Xplenty’s cloud-based, easy-to-use, data integration service makes it easy to move, process and transform more data, faster, reducing preparation time so businesses can unlock insights quickly. With an intuitive drag-and-drop interface it’s a zero-coding experience. Xplenty processes both structured and unstructured data and integrates with a variety of sources, including Amazon Redshift, SQL data stores, NoSQL databases and cloud storage services.

The most advanced data pipeline platform:

  • A complete toolkit for building data pipelines: Implement an ETL, ELT or a replication solution using an intuitive graphic interface. Orchestrate and schedule data pipelines utilizing Xplenty’s workflow engine. Use our rich expression language to implement complex data preparation functions. Connect and integrate with a wide set of data repositories and SaaS applications.
  • Data integration for all: We believe that anyone should be able to create ETL pipelines regardless of their tech experience. That's why we offer no-code and low-code options, so you can add Xplenty to your data solution stack with ease. For advanced customization and flexibility, use our API component. You can also connect Xplenty with your existing monitoring system using our service hooks.
  • An elastic and scalable cloud platform: Let Xplenty handle ops – deployments, monitoring, scheduling, security and maintenance – while you remain focused on the data. Run simple replication tasks as well as complex transformations taking advantage of Xplenty’s elastic and scalable platform.
  • Support you can count on: Data integration can be tricky because you have to handle the scale, complex file formats, connectivity, API access and more. We will be there with you along the way to tackle these challenges head on. With email, chat, phone and online meeting support, we’ve got your back.

Big Data Processing Simplified. No Coding. No Deployment.