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Coalesce Catalog vs data.table

Coalesce Catalog

coalesce.io

data.table

rdatatable.gitlab.io

Side by side

FigureCoalesce Catalogdata.table
Price from$150/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Plans published41
Spec score · Data Transformation Tools9.1 (#3)8.5 (#11)
FundingThe company timeline says Coalesce raised $26 million in Series A funding in 2022 and $50 million in Series B funding in 2024.The data.table project is fiscally sponsored by NumFOCUS and accepts donations to support project needs.
GovernanceThe product includes controls for data access, governance, ownership, definitions and audit-oriented management.The project uses a custom governance agreement and is fiscally sponsored by NumFOCUS.
IntegrationsCatalog integrations include warehouses and databases such as Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, SQL Server, and Salesforce; BI tools such as Tableau, Power BI, Looker, Sigma, Qlik Sense, and Metabase; Airflow, dbt, Fivetran, Monte Carlo, Soda, Slack, Gmail, Okta, and Google SSO.data.table is an R package and can use R functions from other packages in queries.
SupportThe Starter plan includes onboarding workshops and 24x5 support, while Enterprise and Business Critical include priority support and enhanced service-level agreements.The project directs users who need help to the data.table community on Stack Overflow.
What it doesCoalesce Catalog is a data catalog that helps business and engineering users find, understand and use organizational data.data.table provides a high-performance version of base R’s data.frame with syntax and feature enhancements.

Plans

Coalesce Catalog

  • DeveloperFree
  • Starter$150 a month
  • Business CriticalPriced on request
  • EnterprisePriced on request

Coalesce Catalog pricing →

data.table

  • data.tableFree

data.table pricing →

In their own words

Coalesce Catalog

Coalesce Catalog is a data catalog for discovering, documenting, and governing assets across a data stack. Its AI-assisted natural-language search covers domains, dashboards, tables, and columns, while automated lineage maps data from sources to BI tools at column level. A metadata-powered semantic layer supports collaborative cataloging and documentation. Governance features include access monitoring and control, sensitive-data classification, role-based controls, and audit trails. Integrations span warehouses, databases, BI tools, and services including Snowflake, Databricks, BigQuery, Tableau, Power BI, dbt, Slack, and Okta. Coalesce says it can document up to 90% of a database in seconds by propagating material from connected tools. Its Public API can read and update metadata such as tables, columns, dashboards, lineage, and quality tests. The free Developer plan includes one user, one project, one environment, and 2,000 monthly actions. Starter costs $150 a month, billed annually, and includes three Catalog integrations. Coalesce lists web and API platforms.

Visit coalesce.io

data.table

data.table is a free R package providing a high-performance version of base R’s data.frame. Its code interface supports filtering, grouping, aggregation, ordered and rolling joins, overlapping and non-equi joins, reshaping with dcast and melt, and adding, updating, or deleting columns. fread() reads delimited text, including CSV, TSV, compressed .gz and .bz2 files, and can source web URLs or shell commands. fwrite() writes delimited files with an emphasis on speed for large files. Many operations use multiple CPU threads internally. Columns can be changed by reference without copies, and the project reports no external Imports, LinkingTo, or Depends dependencies. Queries can call R functions from other packages. data.table runs on Linux, macOS, and Windows and requires base R. It is self-hosted and licensed under MPL-2.0. The project’s stated scope excludes binary formats such as Parquet and data stored on disk or in remote SQL databases.

Visit rdatatable.gitlab.io