Zoho DataPrep is an AI-powered no-code ETL, data preparation, and reverse ETL platform for building data pipelines, cleaning and transforming data, enriching datasets, and monitoring workflows. It includes AI features like Ask Zia for natural language data preparation and automation.
Zoho DataPrep is an AI-powered no-code ETL and data preparation platform that helps business users and data teams build pipelines, clean datasets, and move data into warehouses without writing code, with pricing starting free for up to 10,000 rows per month. It is best suited for analysts, BI teams, and operations professionals at small-to-midsize businesses who need to wrangle messy data without depending on engineering.
The platform offers a spreadsheet-like interface combined with over 250 prebuilt transforms covering deduplication, joins, pivots, type conversions, and column splits. Its standout AI capability is Ask Zia, a natural language assistant that lets users describe transformations in plain English (e.g., "split this column by comma and remove leading whitespace") and have them executed automatically. DataPrep connects to 50+ data sources including Zoho Analytics, Snowflake, Amazon Redshift, Google BigQuery, MySQL, PostgreSQL, REST APIs, FTP servers, and cloud storage like Amazon S3, Google Drive, and Dropbox. It also supports reverse ETL workflows that push cleaned data back into operational systems like Zoho CRM and Salesforce.
Founded as part of the broader Zoho ecosystem (Zoho was established in 1996), DataPrep benefits from tight native integration with Zoho Analytics, Zoho CRM, and other Zoho apps, making it the natural choice for the millions of businesses already using the Zoho suite. Based on our analysis of 870+ AI tools, DataPrep stands out in the data preparation category for combining genuinely affordable pricing, no-code accessibility, and AI-assisted transforms in a single product. Compared to enterprise alternatives like Alteryx or Informatica that often cost thousands per user per month, DataPrep delivers most of the core wrangling and pipeline functionality at a fraction of the cost, though it trades some advanced governance and ML-driven features for that affordability.
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Ask Zia lets users describe data transformations in natural language and converts them into executable steps within the pipeline. It also proactively suggests transformations based on detected data quality issues like nulls, outliers, or inconsistent formats. This makes the platform accessible to non-technical users who don't know SQL or scripting languages.
DataPrep ships with over 250 ready-made transformation functions covering deduplication, type conversion, joins, pivots, splitting, merging, and string operations. Users apply transforms through a spreadsheet-like UI without writing code, and each step is recorded so pipelines can be replayed on new data. This drastically speeds up common data wrangling tasks.
DataPrep supports both directions of data flow: pulling raw data from warehouses, databases, and SaaS apps for cleaning, and pushing cleaned data back into operational systems like CRM and marketing tools. Combining both in one product eliminates the need to buy separate ETL and reverse ETL tools, reducing cost and integration complexity. Pipelines can be scheduled, triggered by events, or run on demand.
Native connectors include cloud warehouses (Snowflake, Redshift, BigQuery), databases (MySQL, PostgreSQL, MSSQL, Oracle), cloud storage (S3, Google Drive, Dropbox), and SaaS apps including the entire Zoho suite plus Salesforce. REST API and FTP/SFTP support cover most remaining data sources. This breadth is competitive with mid-market ETL tools and removes most integration blockers.
DataPrep continuously monitors datasets for quality issues like duplicates, missing values, outliers, and schema drift, then surfaces them via dashboards and alerts. Rules can be configured to automatically trigger remediation steps or notify owners when thresholds are breached. This proactive monitoring is essential for keeping production pipelines reliable.
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$25/org/month (billed annually)
$50/org/month (billed annually)
$125/org/month (billed annually)
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