Pipeline Raw Data Into
an Analysis-Ready SQL Database
an Analysis-Ready SQL Database
Pipeline Raw Data Into
an Analysis-Ready SQL Database
an Analysis-Ready SQL Database
TABLUM.IO streamlines the integration of raw unstructured data. It normalizes data upon loading and stores the results in a ready-to-use relational database powered by ClickHouse.
Data Integration
TABLUM.IO streamlines the integration of raw unstructured data. It normalizes data upon loading and stores the results in a ready-to-use relational database powered by ClickHouse.
It automatically recognizes data column types, applies date and time formatting, parses and normalizes financial data to provide ready-to-use datasets for your favourite Business Intelligence & Data Analytics apps.
TABLUM.IO minimizes data engineering efforts required for data preparation.
Data Cleansing
It automatically recognizes data column types, applies date and time formatting, parses and normalizes financial data to provide ready-to-use datasets for your favourite Business Intelligence & Data Analytics apps.
TABLUM.IO minimizes data engineering efforts required for data preparation.
Power users can build a sequence of transformations using comprehensive ClickHouse SQL dialect with hundreds of ready-to-use functions from statistics, text processing, and data manipulation fields.
Enhanced Transformation
Power users can build a sequence of transformations using comprehensive ClickHouse SQL dialect with hundreds of ready-to-use functions from statistics, text processing, and data manipulation fields.
Imported and cleansed data can be shared as ClickHouse tables for further usage in Data Analytics software or instantly downloaded as CSV, TSV, JSON, or XML files.
Data Pipelining & Export
Imported and cleansed data can be shared as ClickHouse tables for further usage in Data Analytics software or instantly downloaded as CSV, TSV, JSON, or XML files.
Data Import via URL
Provides an embedded HTTP client that downloads content over the HTTP(S). Loads any supported data from websites and remote servers via the URLs.
REST/SOAP clients
Fetches data from 3rd-party services via REST or SOAP-based APIs. Supports custom HTTP headers, iterators & loops, URL parameters, and scheduled runs.
Import from the Clipboard
Supports copy-and-paste operations for any HTML tables, Google Spreadsheets & MS Excel. Turns the Clipboard content into a relational table instantly.
Import from Flat Files
Loads data from any flat file or unstructured dataset stored in CSV, TSV with custom separator, LOG file, JSON, XML, ODT, MS Excel 2003/2007 with million+ rows.
Import from Google Sheets
Provides a versatile Google Spreadsheet connector for privately-accessed documents. One connector for multiple documents that belong to an authorized user.
Import from JSON & XML
Turns nested data from JSON and XML into relational tables instantly: automatic de-nesting of hierarchical structures, multi-level iterators, and data type recognition.
Drag-n-Drop File Import
Turns flat and semi-structured files into a relational table with drag-n-drop. Supported formats: CSV, JSON, XML, LOG, TSV, ODT, MS Excel. Custom delimiter support.
RegExp-based Parsing
Provides unstructured data import via custom regexp-based text parsing. The easiest way to import raw flat data from text logs and .txt files into a relational table.
Auto Type Recognition
Implements intelligent data type detection upon import. Normalizes dates, parses financial records, reformats numbers, and automatically makes data consistent.
Data Profiling
Provides one-click data profiling with all the necessary figures: Min/Max/Average/Median/Null Cells/Empty Cells/etc. It helps to discover content quickly.
Data Cleansing
Cleanses data upon import automatically and provides additional manual functionality to edit loaded data, change column types, and remove specific columns and rows.
Table Visualization
Visualizes loaded data as an easy-reading spreadsheet with typography and perfect data formatting. It provides a context menu to access shortcuts and manipulate data.
Multi-Level Queries
Supports SQL-based subqueries for the data imported into TABLUM.IO. Provides rich ClickHouse SQL dialect to query, aggregate, and transform data step-by-step.
SQL-based Transformations
Supports ClickHouse SQL dialect with hundreds of ready-to-use functions for string & date processing, arithmetics, machine learning, aggregation, and statistics.
Database Connectors
Provides ready-to-use connectors to relational databases: Postgres, MySQL, MS SQL, and ClickHouse. Integrates and merges data from heterogeneous databases.
Export in Multiple Formats
Exports the result of data integration and data preparation in multiple formats, including CSV, XML, JSON, and TSV. Save the results of data cleansing with just a click.
Scheduled Imports
Provides scheduled data import for the data stored in the database and data loaded via URL. Allows configuring the interval of data update every minute or less often.
Direct Database Access
Enables data pipelining and data sharing using direct access to the prepared data via the common ClickHouse interface. Connect your favourite BI/Data apps directly.
- Data Import via URLProvides an embedded HTTP client that downloads content over the HTTP(S). Loads any supported data from websites and remote servers via the URLs.
- REST/SOAP clientsFetches data from 3rd-party services via REST or SOAP-based APIs. Supports custom HTTP headers, iterators & loops, URL parameters, and scheduled runs.
- Import from the ClipboardSupports copy-and-paste operations for any HTML tables, Google Spreadsheets & MS Excel. Turns the Clipboard content into a relational table instantly.
- Import from Flat FilesLoads data from any flat file or unstructured dataset stored in CSV, TSV with custom separator, LOG file, JSON, XML, ODT, MS Excel 2003/2007 with million+ rows.
- Import from Google SheetsProvides a versatile Google Spreadsheet connector for privately-accessed documents. One connector for multiple documents that belong to an authorized user.
- Import from JSON & XMLTurns nested data from JSON and XML into relational tables instantly: automatic de-nesting of hierarchical structures, multi-level iterators, and data type recognition.
- Drag-n-Drop File ImportTurns flat and semi-structured files into a relational table with drag-n-drop. Supported formats: CSV, JSON, XML, LOG, TSV, ODT, MS Excel. Custom delimiter support.
- RegExp-based ParsingProvides unstructured data import via custom regexp-based text parsing. The easiest way to import raw flat data from text logs and .txt files into a relational table.
- Auto Type RecognitionImplements intelligent data type detection upon import. Normalizes dates, parses financial records, reformats numbers, and automatically makes data consistent.
- Data ProfilingProvides one-click data profiling with all the necessary figures: Min/Max/Average/Median/Null Cells/Empty Cells/etc. It helps to discover content quickly.
- Data CleansingCleanses data upon import automatically and provides additional manual functionality to edit loaded data, change column types, and remove specific columns and rows.
- Table VisualizationVisualizes loaded data as an easy-reading spreadsheet with typography and perfect data formatting. It provides a context menu to access shortcuts and manipulate data.
- Multi-Level QueriesSupports SQL-based subqueries for the data imported into TABLUM.IO. Provides rich ClickHouse SQL dialect to query, aggregate, and transform data step-by-step.
- SQL-based TransformationsSupports ClickHouse SQL dialect with hundreds of ready-to-use functions for string & date processing, arithmetics, machine learning, aggregation, and statistics.
- Database ConnectorsProvides ready-to-use connectors to relational databases: Postgres, MySQL, MS SQL, and ClickHouse. Integrates and merges data from heterogeneous databases.
- Export in Multiple FormatsExports the result of data integration and data preparation in multiple formats, including CSV, XML, JSON, and TSV. Save the results of data cleansing with just a click.
- Scheduled ImportsProvides scheduled data import for the data stored in the database and data loaded via URL. Allows configuring the interval of data update every minute or less often.
- Direct Database AccessEnables data pipelining and data sharing using direct access to the prepared data via the common ClickHouse interface. Connect your favourite BI/Data apps directly.
Unlike writing code, TABLUM.IO requires no coding skills, making it an ideal solution for data engineers and analysts without programming experience. TABLUM.IO is designed to be user-friendly and intuitive for non-technical users, allowing for a more efficient data ingestion process.
With TABLUM.IO, there is no need to go through the hassle of installing, configuring, and maintaining the solution. TABLUM.IO can be used out of the box with ease. Schema detection is a strong suit of TABLUM.IO, making it easier and faster to ingest data. TABLUM.IO is a user-friendly and efficient tool for data engineers and analysts to prepare and transform their data.
