Automatic Columnar ANSI SQl Pipelines for 2020 and Beyond
Lyftron 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 Lyftron automated pipeline to make the right data available at the right time.
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.
Lyftron 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 Lyftron's data pipeline simplicity
Revolutionary Lyftron way to build agile, data culture
Let’s get personal: See Lyftron on your data in a live Demo
How it works
Know the heart and soul of data pipeline with Lyftron
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 like S3, Blob, Salesforce, Marketo, Shopify, Oracle, and more.
This is the brain of Lyftron and functions to federate the data by building a data lake, data replication, data warehouse, data sharing, and semantic model. Besides, it ensures smooth coordination between the source and the compute layer.
This functions for optimized process and better load performance with push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake, and more. It is meant to process voluminous data effectively and efficiently at lightning speed.
Under the covers of the compute layer, Lyftron possesses metadata which works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan, and more.
Considered as the heart of Lyftron, 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.
The innermost shell provides data access from Lyftron to targets like on-premise and cloud data warehouses, databases, BI, and ML. Ensure smooth and risk-free data migration from Lyftron to Snowflake, Redshift, Azure SQL Data Warehouse, Looker, Tableau, Power BI, and more.
What you get
Query API data with SQL familiar syntax
With Lyftron, 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.
Lyftron's emulation of Microsoft SQL Server allows any client supporting connectivity to SQL Server to connect to Lyftron.
Emulation delivers compatibility with the following SQL Server features:
Lyftron Easy-to-Implement Transformation Functions Supported For
Secure your sensitive data with our encryption functions
Lyftron 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. Lyftron 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
Easily query data from S3, Blob, Json, Xml like a table
Federate data sources like actual database
State-of-the-art facial recognition API
Easily auto extract Json, XML schemas into relational format
An inside look of Lyftron columnar pipeline
From data to analytics, in a matter of seconds
Integrate your data with Lyftron instantly and blend with 150+ other sources
Data extraction with Lyftron is easy. Be up and moving in minutes. Without any help from developers, Lyftron enables you to choose your most valuable data and pulls it from all your connected data sources in just one click.
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. Lyftron connectors automatically convert any source data into normalized structure of ANSI Sql and push down the data pipeline processing as an ELT to the native cloud data warehouse.
Built for the agile data culture for your data
Load your data into your warehouse or lake instantly
Analyze your data from any BI/ML tools
Data sharing is data caring
Our Agile Team
from a single ODBC/JDBC/ADO.NET driver.