data.table

Free#24 of 36 in Data Transformation Tools

data.table: A free R package for fast local transformation of delimited files. Ranked #24 of 36 in Data Transformation Tools by our editors (6.9/10); pricing: Free plan; best for fast R transformations on delimited files.

6.9/10★★★☆☆Editor score

Visit data.table

data.table6.9 Visit data.table

At a glance

• Editor score
  6.9 / 10
• Pricing
  Free plan
• Best for
  Fast R transformations on delimited files
• Free plan
  Yes
• Paid from
  Free
• Deployment model
  Self_hosted
• Facts checked
  22 Sep 2026

• Where it wins

  • Fast fread and fwrite operations for delimited files
  • Concise grouped aggregation, joins, and reshaping syntax
  • By-reference updates, indexing, and multithreaded execution

• Where it doesn't

  • Requires R and a code-based transformation workflow
  • Runs locally rather than as a hosted data platform
  • Focuses on delimited formats instead of broader integrations

Our verdict on data.table

data.table is an open-source R package for local, high-performance data transformation and analysis. It extends base R data frames with concise operations for filtering, grouped aggregation, joins, reshaping, column updates, and file input and output. Analysts, researchers, developers, and R package maintainers working with large datasets are the clearest fit, particularly when transformations need to stay within an R installation on Windows or macOS.

Its strongest case is the depth of its core transformation engine. fread provides fast reading for CSV, TSV, delimited text, and compressed .gz and .bz2 files, while fwrite handles delimited-file writing. The concise i, j, by syntax supports grouped aggregation, and the package includes ordered, range, non-equi, and update joins. melt and dcast cover reshaping, while by-reference column changes can add, modify, or delete columns without the same workflow as creating separate copies. Secondary indexes, keyed table operations, and execution across multiple CPU threads extend the package beyond basic data-frame manipulation.

The trade-off is a narrow, code-first scope. data.table is self-hosted within R rather than a hosted platform, and its published feature set centers on local delimited data rather than integrations or orchestration. That makes it a strong choice for R users who value speed, memory efficiency, and direct control over transformations without a paid plan. Teams seeking a hosted workflow, broader platform connectivity, or orchestration around data pipelines should choose a tool built for those requirements instead.

Your product? Our editors can test data.table in depth and publish a review, labelled as paid · from $149/mo →

data.table pricing

data.table fact sheet

Alternatives to data.table

• DataformA free, managed workflow service for SQL transformation and testing in BigQuery.9.2
• Alteryx DesignerA broad visual toolkit for enterprise analysts working across complex data environments.9.1
• Apache BeamA broad, portable framework for engineering teams building code-driven data pipelines.9.0

See all data.table alternatives →

Featured on iTechGuides

data.table is listed in our Data Transformation Tools directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/data-table/"><img src="https://www.itechguides.com/best/badge/data-table.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update