SQL Workbench

Experience a true Extract-Load-Transform with your familiar SQL and make your data lake as scalable and accessible as possible.

For fast, easy and secured data transformation

Transform your data stream and experience a true Extract-Load-Transform with your familiar SQL. Lyftrondata SQL workbench aims to save developers from investing loads of effort and hours in creating long codes. The powerful architecture empowers users to write SQL query once and continuously get data that is always fresh and optimized.

Lyftrondata is not just yet another ETL tool that loads data to another database. Lyftrondata architecture goes beyond and enables real-time SQL queries to data sources by simulating a database. Query all data sources with simulated Transact-SQL. Get real-time data from data warehouses or source systems during prototyping and data modeling.

Eliminate the complexity with Lyftrondata's simplicity

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Parallel Data Queries
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Faster Results to Insights
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Reduction in cost
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Faster Data Exchange Between Enterprises
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Faster Business Decisions
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Faster Learning

What you get

Query API data with SQL familiar syntax

With Lyftrondata, avoid creating time-consuming code and use your very own SQL to query any data, both structured and semi-structured. Its modern data architecture supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI and make your data lake work for you. Lyftrondata's emulation of Microsoft SQL Server allows any client supporting connectivity to SQL Server to connect to Lyftrondata.

Easily auto-extract JSON, XML schemas into relational format

No need to write any complex API, rest services, JSON, and XML parsing jobs. Lyftrondata takes care of all these it converts any data into a relational format and allows you to query it with simple ANSI SQL.​

Emulation compatibility with SQL Server

  • Metadata model exposed by SQL Server, including metadata catalog, system views, stored procedures, and functions.
  • SQL dialect supported by SQL Server.
  • Tabular Data Stream network protocol as described in Microsoft TDS documentation.
  • Data types and conversions, where all data types are normalized automatically into equivalent SQL Server data types.

Secure your sensitive data with our encryption functions

Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and tools that your team needs to successfully operationalize your program. Amplify your information governance with a robust data lineage model that follows high-quality controls and governance mechanisms.

Perform complex transformations

Skip writing long complex APIs, and transform instantly with SQL. Define data transformations as a standard SQL. Lyftrondata pushes down SQL to data sources and the cloud, making it easy for all users to access the information they need in a timely fashion.

Quickly apply complex joins

Apply high cardinality joins between API sources, S3, Blob and database, without heavily relying on the BI and data engineering teams to set up complex and time-consuming ETLs.

Easily query data from S3, Blob, JSON, Xml like a table

Eliminate traditional ETL/EDW bottlenecks by auto- normalizing API/JSON/XML/S3/Blob/NoSql
sources into ready-to-query relational format. Focus on boosting the productivity of your data professionals and shorten your time to value.

Federate data sources like actual database

Take a leap from data federation technology and focus on performance optimization as well as self-service search and discovery. Spend more time analyzing data than searching for

State-of-the-art facial recognition API

Perform Azure cognitive AI access with our face recognition API function. Be on the top of technology, and use cognitive services that bring AI within reach of every developer—without requiring machine-learning expertise.

Emulation delivers compatibility with the following SQL Server features:

  • Procedural programming constructs: IF, WHILE, DECLARE
  • Temporary tables (stored in memory)
  • Selected SQL session environment variables
  • Security model supported by SQL Server
  • Authentication using Windows Integrated Authentication and SQL Server Standard Authentication (Mixed Mode)
  • Job scheduling model and accompanying stored procedures

Lyftrondata easy-to-implement transformation functions supported for

  • Aggregate

  • Analytical

  • Azure Cognitive AI

  • Date & Time

  • Expression

  • Math

  • Metadata

  • Ranking

  • String

  • System

  • Data Parsing

  • Tabular

  • Data Encryption

Let’s get personal: See Lyftrondata on your data in a live Demo
Schedule a free, no-strings-attached demo to discover how Lyftrondata can radically simplify data lake ETL in your organization.

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