TABLUM.IO
Query & Analytics Tool
for Data-Driven Teams
Query data from multiple data sources: SQL/NoSQL databases, static files, REST APIs, 3rd-party services, and Google Sheets within a single query window. Visualize, analyze and share results faster.

Query/SQL Editor
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Multiple Data Sources accessible within a Single Window:
SQL and NoSQL databases, local and remote files, REST API, 3rd party services, Google Sheets, and more.

Query/SQL Editor

Multiple Data Sources accessible within a Single Window:
SQL and NoSQL databases, local and remote files, REST API, 3rd party services, Google Sheets, and more.
Why TABLUM.IO is better than other solutions?
SQL Editor like DBeaver
Ready-to-use connectors to popular databases, 3rd party APIs, Google Sheets documents, and files. Sub-queries on the loaded data to mix, filter and clean up data with a low-code approach.
Self-Service BI like Metabase / Chartio
Easy data source connection and data import, two-click chart generation with a bar chart, scatter plot, pie-chart, treemap, heatmap views. Automatic data type detection and data structuring while loading.
Spreadsheet like MS Excel / Google Sheets
Easy-reading and functional tabular representation of loaded data with Visual Query Builder, edit/filter/sort capabilities. Sub-queries to the table data, table sharing via the link.
Connector like Zapier
Connectors to any REST API with custom HTTP headers, JSON/XML/CSV/TSV/LOG/TXT format support as well as data loading from local files and databases. Scheduled data update. Export to CSV, TSV, SQL, JSON, XML.

Features

  • Query data from multiple data sources within a single browser window.
  • Merge/combine data from databases, files, and REST APIs, and 3rd-party services.
  • Cache queries as materialized views and execute sub-queries.
  • Visualize query results as charts and pivot tables.
  • Share results with the team or public.
  • Schedule requests.
  • Report the results to Slack or Telegram.


Highlights:
  • Power SQL console with syntax highlight and formatting.
  • Available connectors to MS SQL, Clickhouse, MySQL, PostgreSQL databases.
  • Import data from JSON, XML, LOG, CSV, TSV, XLSX, ODS files, and via URL.
  • Import data from multiple Google Sheets documents with a single connector.
  • Data visualization includes bar charts, column charts, pie charts, heatmaps, treemaps, scatterplots, etc.
  • Scheduled queries and periodic requests.
  • Datasets and charts sharing.
  • Low-code for queries and visual query builder with aggregate functions, window functions, and statistics
  • High performance with 1M+ records in a single TABLUM View.
  • Cloud and self-hosted versions.

Features

  • Query data from multiple data sources within a single browser window.
  • Merge/combine data from databases, files, and REST APIs, and 3rd-party services.
  • Cache queries as materialized views and execute sub-queries.
  • Visualize query results as charts and pivot tables.
  • Share results with the team or public.
  • Schedule requests.
  • Report the results to Slack or Telegram.


Highlights:
  • Power SQL console with syntax highlight and formatting.
  • Available connectors to MS SQL, Clickhouse, MySQL, PostgreSQL databases.
  • Import data from JSON, XML, LOG, CSV, TSV, XLSX, ODS files, and via URL.
  • Import data from multiple Google Sheets documents with a single connector.
  • Data visualization includes bar charts, column charts, pie charts, heatmaps, treemaps, scatterplots, etc.
  • Scheduled queries and periodic requests.
  • Datasets and charts sharing.
  • Low-code for queries and visual query builder with aggregate functions, window functions, and statistics
  • High performance with 1M+ records in a single TABLUM View.
  • Cloud and self-hosted versions.
Available as self-hosted and cloud
Cloud
Online (cloud) version of TABLUM.IO is available via https://tablum.io/try. You can register an account using your email or a social account (Google, Facebook) and start to work instantly.
Self-Hosted
Self-hosted (on your server) installation is available as a Docker container. It could be run on any port and web UI is available via HTTPS. Installation and configuration time is about 10 minutes.
Request a self-hosted version:
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