Automatic columnar ANSI SQL pipelines for 2022 and beyond

Lyftrondata’s columnar pipeline unifies all data sources to a single format and loads the data to a target data warehouse for the use of analytics and BI tools. Avoid re-inventing the wheel of building pipelines manually, use Lyftrondata’s automated pipeline to make the right data available at the right time.

Lyftrondata columnar ANSI SQL pipeline for instant data access

Many leading companies have invested millions of dollars building data pipelines manually but unfortunately were unable to reap the suitable ROI. The result has mostly been a complex ecosystem that requires a lot of people, time, and money to maintain.

Lyftrondata removes all such distractions with the Columnar SQL data pipeline that supplies businesses with a steady stream of integrated, consistent data for exploration, analysis, and decision making. Users can access all the data from different regions in a data hub instantly and migrate from legacy databases to a modern data warehouse without worrying about coding data pipelines manually.

Eliminate the complexity with Lyftrondata's simplicity

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Automatic Pipeline Creation in no Time
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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

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.

How it works

Lyftrondata’s columnar pipeline allows to process and load events from multiple sources to target data warehouses via simple commands. All data pipelines in Lyftrondata are defined in SQL. This concept enables scripting all data pipelines, and therefore there’s no need to build them manually. Data pipelines could be automatically scripted instead of building them manually in a visual designer. Get ensured that you can sync and access your real-time data in sub-seconds using any BI tool you like.

Know the heart and soul of data pipeline with Lyftrondata

  • Source

    There is nothing easier than connecting your data from different sources to one source and avoid complicated tasks of preparing data and setting up complex ETL processes. This layer ensures a hassle-free process of connecting with source connectors.

  • Virtualization

    This layer lies just below “Source” and manages the unified data for centralized security. It provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on.

  • Caching

    This third layer is used to cache data used by SQL queries. Whenever data is needed for a given query it's retrieved from here, and cached in SSD and memory.

  • Metadata

    Under the covers of the caching layer, Lyftrondata possesses metadata that works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan and more

  • Security

    Considered as the heart of Lyftrondata, this layer handles one of the most crucial functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights and role management.

  • Visualization

    This innermost layer allows to analyze, visualize and explore the massive volume of data from disparate data sources, empowering users to drive real-time insights for business decisions.

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

Business benefits of Lyftrondata Pipeline

  • High Performance

    Lyftrondata's columnar pipeline is designed with openness, scalability and flexibility in mind.

  • Data Liberation

    All your business data, normalized and organized, at one place unifies your business structure.

  • Successful Business Intelligence

    Strategic freedom to make instant data-driven decisions based on real-time insights.

  • Productive Teams

    No more double-checking your data. Save time, cost, resources and efforts.

  • Data Compliance

    Our data security framework provides the peace of mind that your data is safe and risk-free.

  • Auto-Schema

    Automated schema creation, versioning and history.

  • Versioning

    Automated creation of table and views for data management.

  • No Duplication

    Avoid duplication of data with our modern framework which matches data with previously loaded records.

  • Fast-Processing

    Run API or Batch clients securely on-premise or in the cloud.

  • Automatic Scaling

    Auto-scaling from a few to hundred to many billions of events.

  • Lyftrondata Warehouse

    We handle data management, processing, and query optimization to your target warehouse.

An inside look of Lyftrondata columnar pipeline

Real Time Sync
Advanced Security
Built-In Apache Spark
Simple Interface-No Code needed
Cost-effective licensing model
High performance, cloud friendly
Lower infrastructure costs
Codeless Development
High Speed Performance
Prebuilt Transformation Templates
Complex data parsing capabilities

Cost-effective data management

From data to analytics, in a matter of seconds

  • Extract your data
  • Auto normalize your data
  • Analyse your data
  • Transformation
  • Visualize your data with BI tools
  • Share your data

Integrate your data with Lyftrondata instantly and blend with 150+ other sources

Data extraction with Lyftrondata is easy. Be up and moving in minutes. Without any help from developers, Lyftrondata enables you to choose your most valuable data and pulls it from all your connected data sources in just a few click.

Business Analyst

I feel more aligned with the agile process as now I can analyze any data without worrying about any technical know how.

Empower your analytics with out-of-the-box relational data model

Once the data is extracted, you could ingest it to the data warehouse or BI tool of your choice with zero coding required. Lyftrondata connectors automatically convert any source data into a normalized structure of ANSI SQL and push down the data pipeline processing as an ELT to the native cloud data warehouse.

Data Analyst

I have a better control on the data analysis process as now I can run rapid fast queries against the API’s which I never thought possible.

Built for the agile data culture for your data

Next, analyze massive volumes of this real-time data in visualization tools and get instant answers to your store performance. Over 100 integrations empower you to use your favorite tools to map data, build and visualize custom reports and more.

Data Architect

I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for the API sources which use to be the taboos for me.

Load your data into your warehouse or lake instantly

Federate your enterprise data by building a data lake, data replication, data warehouse, data sharing, and semantic model while delivering real-time insights.

ETL Developer

I am able to build my data pipeline in few clicks and load billions of records to my warehouse and also able to do cross platform joins on the API sources with ease.

Analyze your data from any BI/ML tools

Visualize and explore your data metrics in beautifully designed dashboards or any BI tool such as Tableau, Looker, Google Data Studio, Excel, Google spreadsheet. Get insights across products, channels, customers, and more.

BI Analyst

I have a better response from the BI reports and able to connect with API/Json/XML based sources in just fewer clicks.

Data sharing is data caring

Define, categorize and find all data sets in one place. Share these data sets with other experts with zero code and drive better insights and user experience. This data sharing ability is perfect for companies who want to store their data once, share it with other experts and use it multiple times, now and in the future. We build the best data sharing process around your data stack. So say goodbye to the complex API, FTP and Email manual data sharing processes and simply onboard your consumers to the Lyftrondata platform in just a few minutes.

Our Agile Team

We are in full control of our data exchange process and easily able to share the data instantly and collaborate with teams with ease without worrying about writing complex API, FTP, Email for data sharing.


No, Lyftrondata will help you create a Data Pipeline automatically and let you analyze the data instantly with ANSI SQL and BI tools.

Lyftrondata has robust column-level security which will help you choose the access based on roles and user and only the users you choose will get access to the pipeline, database, table or column.

Transform with SQL
Define data transformations as a standard SQL. Lyftrondata pushes down SQL to data sources and the cloud.
Prototype data sets
Avoid needless delay in data preparation. Define virtual data sets before starting a data pipeline.
Use any BI tool
Connect any BI tool to data sources or replicated tables. All sources and data pipelines are accessible
from a single ODBC/JDBC/ADO.NET driver.
Real-time data replication
Lyftrondata enables near real-time data replication on the fly. 

Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time and efforts by 80%.

Please write to us at [email protected] for details related to pricing.

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