What is SyncSpider?
Automatically sync all your Webapp data like contacts, support tickets, tasks and product details to your CRM or to other apps. It will easily automate your everyday time-consuming tasks.
SyncSpider is a tool in the Data Transfer category of a tech stack.
SyncSpider Integrations
WordPress, Mailchimp, Shopify, WooCommerce, and Magento are some of the popular tools that integrate with SyncSpider. Here's a list of all 10 tools that integrate with SyncSpider.
SyncSpider's Features
- Synchronize your Webapp data across 100’s of channels
- Keep your contacts in syncacross all your platforms
- Automate your everyday time consuming task
- Easily Export and migrateYour data
- Send customer data and salesdata Directly Into Your CRM
SyncSpider Alternatives & Comparisons
What are some alternatives to SyncSpider?
Requests
It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
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.
Embulk
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
Google BigQuery Data Transfer Service
BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.
HTTP/2
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
