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SPECIFICTION
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Hightouch vs Splink

Hightouch

hightouch.com

Splink

moj-analytical-services.github.io

Side by side

FigureHightouchSplink
Price from$350/moFree
Free planYesYes
Free trialYes—
Open source—Yes
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hosted—Yes
Plans published92
Spec score · Identity Resolution Software9.2 (#1)8.4 (#2)
Rating on Capterra4.5 out of 5 from 2 reviews.0.0 out of 5 from 0 reviews; the listing is categorised as payment-processing software.
Rating on G24.6 out of 5 from 419 reviews.5.0 out of 5 from 2 reviews; the listing is categorised as payment-processing software rather than the open-source data-linkage package.
Rating on Software Advice4.5 out of 5 from 2 reviews.No reviews yet; the page presents custom-quote pricing and payment-processing categories rather than data-linkage functionality.
SupportComposable CDP plans list dedicated expert support, and the pricing page describes dedicated Slack, a dedicated customer success manager, onboarding, and custom support SLAs.Users are directed to a public GitHub discussion forum for questions after consulting the documentation.
What it doesHightouch moves trusted warehouse data into operational tools, which it calls Reverse ETL.Splink is a Python package for probabilistic record linkage and entity resolution that deduplicates or links records without unique identifiers.

Plans

Hightouch

  • FreeFree
  • Self-servePriced on request
  • Basic Reverse ETLFree
  • FreeFree
  • Starter$350 a month
  • Pro$800 a month
  • Agentic Marketing PlatformPriced on request
  • BusinessPriced on request
  • Composable CDPPriced on request

Hightouch pricing →

Splink

  • Free and open sourceFree
  • SplinkFree

Splink pricing →

In their own words

Hightouch

Hightouch has no write-up on Specifiction yet; its figures are above.

Visit hightouch.com

Splink

Splink is a free Python package for probabilistic record linkage, used to deduplicate records and connect them when unique identifiers are absent. Its linkage method follows the Fellegi-Sunter model and can be trained without labeled examples. Matching can include term-frequency adjustments and user-defined fuzzy logic. Splink creates SQL for a selected backend, with documented support for DuckDB, Spark, SQLite, and PostgreSQL. DuckDB is recommended for most users; Spark is recommended for very large linkages or when a Spark cluster is more accessible. The maker says it can run on DuckDB or big-data backends such as Spark for linkages of 100+ million records. It works best with standardized data across several columns that are not highly correlated, rather than a single bag-of-words column. Interactive visualizations help examine and diagnose models, predictions, and clusters. Install with pip or conda, with optional backend-specific installation for Spark and PostgreSQL. It runs on Linux, macOS, and Windows, as well as self-hosted environments.

Visit moj-analytical-services.github.io