Oneprofile vs Rapportive
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Rapportive shows you everything about your contacts right inside your inbox. | Oneprofile syncs customer profiles and events across all the tools a company uses. Instead of each system having its own version of a customer, Oneprofile keeps everything in sync automatically — CRMs, analytics, support, marketing. When customer data changes anywhere, it’s reflected everywhere, instantly. No manual pipelines, no broken integrations — just the right data in the right place. |
Who is this?- See their happy smiling face.;Where are they?- See if they're nearby, and arrange to meet.;What do they do?- See their job, company and LinkedIn profile.;What do my apps say?- See their activity in MailChimp and more.;Establish rapport- Mention shared interests and recent tweets.;Grow your network- Follow them on LinkedIn, Twitter, Facebook and more.;Store thoughts for later- Leave notes on their profile. | etl, cdp, customer data |
Statistics | |
Stacks 8 | Stacks 10 |
Followers 8 | Followers 1 |
Votes 2 | Votes 1 |
Pros & Cons | |
Pros
| Pros
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What are some alternatives to Rapportive, Oneprofile?
Azure Logic Apps
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AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
AWS Snowball Edge
AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.
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ByteFlow
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