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DataChannel vs Singular

Singular

8.1#1 in email marketing analytics software$0.05 one-time
Free planAndroidiOSWebAPI
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What both publish

FactDataChannelSingular
IntegrationsThe maker describes a library of 100+ pre-built integrations, including marketing, CRM and sales, eCommerce, social media, database, financial and support tools.Singular provides a partner integration directory with a searchable partner browser.
ProductDataChannel combines ETL, Reverse ETL, data orchestration, transformations and generative AI insights from a data warehouse in one platform.Singular describes itself as an end-to-end marketing platform for unifying data, measuring ROI, and scaling growth with AI.
Rating on Capterra4.7 out of 5 from 12 reviews4.6 out of 5 from 27 reviews
Rating on G24.8 out of 5 from 36 reviews4.6 out of 5 from 529 reviews
SecurityThe maker says it uses OAuth2 to connect to data sources and lets customers store data in their own cloud infrastructure by connecting their warehouse.Singular states that data is encrypted at rest using AES 256 and that it supports 2FA and SSO.
Security controlsThe GDPR guidance describes access restrictions, usage logs, configurable retention schedules and pseudonymisation or anonymisation.The company states that data is encrypted at rest with AES-256, encrypted in transit, backed up across geographic zones, and protected by role permissions, 2FA, SSO and penetration testing.

DataChannel plans

  • Forever FreeFree
  • Ask Neo (AI Data Analyst) add-on$99 a month
  • Ask Neo$99 a month
  • Managed Google BigQuery Data Warehouse$200 a month
  • Managed Google BigQuery Data Warehouse add-on$200 a month
  • Starter$399 a month

Singular plans

  • FreeFree
  • Growth$0.05, paid once
  • EnterprisePriced on request

Pick DataChannel if…

DataChannel suits digital marketing and analytics teams, data engineers and analysts, and IT, product or engineering teams. It may fit teams that need both warehouse preparation and outbound data activation.

Pick Singular if…

Singular may suit marketing teams in areas such as gaming, travel, e-commerce, finance and food and drink that need attribution and campaign analytics. It also serves agencies and other listed customer groups.

Charts they share