Leverage the full potential of the next-gen cloud data warehouse, Amazon Redshift, with industry’s leading data solution Lyftrondata. Get a managed and cost-effective solution with columnar data storage, massively parallel processing (MPP), efficient integration, and actionable insights.

Load your data into Amazon Redshift instantly

Lyftrondata replicates data from multiple data sources and manages data loading to Amazon Redshift in minutes. 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 cloud data warehouse.

Lyftrondata shortens data preparation activities by letting data teams create virtual data sets first, evaluate the data, and delay the data loading until the data sets are verified or data loading is required.

Eliminate the complexity with Lyftrondata's data warehouse simplicity

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Parallel Auto Data Warehouse
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Faster Results To Insights
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Faster Migration
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Faster business decisions
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Faster learning

Why choose Lyftrondata for Amazon Redshift

  • Data Extraction
  • API Normalization
  • Data Analysis
  • Data Replicate
  • Delta Lake
  • Data Sharing

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 one 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

Connect any API, Json, XML and automatically analyze it with ANSI SQL and load it to Amazon Redshift. Once the data is extracted, you could ingest it to the Amazon Redshift or BI tool of your choice with zero coding required.
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 and get instant answers to your questions. 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

Transform your growth metrics by combining your data and your delta automatically. Joining tables, renaming metrics and mathematical calculations result in a deeper and more complex data structure than the raw data.
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."

Load your data into your warehouse or lake instantly

Build delta lake on the Amazon Redshift and save thousands of engineering hours and significantly reduce the total cost of ownership. The platform handles all the infrastructure development, empowering users to skip engineering work and go straight to analysis.
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 through APIs 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 future.
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. "


Real-time sync

Ensure all your data is being continuously synced to Amazon Redshift in real-time without impacting your system sources.

Performance and effectiveness

Experience high-speed performance, as Lyftrondata architecture does not process the data row-by-row, like traditional ETL products, but performs set and bulk operations in a single go.

Lower infrastructure costs

Control the existing power of DBMS hardware engines, rather than depending on external staging servers & scale with ease.

Codeless development environment

Allows users to integrate all types of data without writing any code through a codeless development environment, increasing the developer’s productivity.

Prebuilt transformation templates

Use default templates for common transformations like Star Schema and integration techniques eliminating time spent on tedious tasks.

Business intelligence at your fingertips

Connect any BI tool using build-in SQL Server drivers through a fully simulated SQL Server protocol. Bridge a connection from SaaS BI tools to on-premise data and the on-premise Enterprise Data Warehouse.

Comprehensive analytics

Access advanced reports for better insights on your Amazon Redshift Database Warehouse data. Get insights across products, channels, customer lifetime value, and more.

Data parsing

Complex Data Parsing capabilities are built into the tool – Access and parse complex data types including Weblogs, JSON, and XML files.

Secured access

Maintain protected and resiliency against constant cyber threats through our secured Lyftrondata architecture.


  • 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. The outermost layer ensures a hassle-free process of connecting with source connectors like S3, Blob, Salesforce, Marketo, Shopify, Oracle, and more.

  • Warehouse

    The Logical Data Warehouse layer of Lyftrondata provides parallel access to both Data Warehouses and all data sources in one place. This supports petabytes of storage and more optimized techniques to run complex analytic queries.

  • Storage

    This layer is responsible for storing the data securely and effectively. It delivers the most updated data sets and empowers users to combine it with their existing data for deepest insights.

  • Compute

    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.

  • Metadata

    Under the covers of the security layer, Lyftrondata 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.

  • 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.

  • Visualize

    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.

How to get started with Lyftrondata team?
  • Step 1: Assessment & advisory

    Start a short Amazon Redshift PoC to find out which workloads would benefit from migration. Our Advisory services enable a smooth transition.

  • Step 2: Data migration & replication consultation

    Consult with our experts on how to liberate your data from legacy databases with our trusted cloud migration solution to Amazon Redshift. We help you migrate from Netezza, Teradata, etc to Redshift.

  • Step 3: Modern data architecture support

    Get an endless support from our expert and modernize data pipelines for real-time data synchronization, using Data Vault 2.0, CDC, ELT to power your next generation Data Lake.

  • Step 4: Data governance & data quality

    Our solution and experts help accelerate data governance modernization and eliminate data silos that enable true reporting and proper data traceability.

  • Step 5: Analytics acceleration

    Our solution empowers you to adapt the latest Amazon Redshift trends which accelerate time to reporting and business application go-to-market.

  • Step 6: Round-the-clock training & support

    Have your staff trained in the new tools and architecture of modern data warehouse which enables swift transition to your team.



Lyftrondata supports Lyft, Shift and Phase migration approach which enables enterprises to migrate from legacy platforms to Amazon Redshift with ease and allows point existing database connection to Lyftrondata. Thereby, Lyftrondata act as an intermediate layer until the migration is fully complete.

Lyftrondata Pipeline manages connections to data sources and loads data to Amazon Redshift. All transformations are defined in standard SQL and pushed down to Amazon Redshift.

Lyftrondata connectors automatically convert any source into the normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.

Avoid needless delays in data preparation. Define virtual data sets on source data. Verify and load to Amazon Redshift when required. Lyftrondata shortens data preparation activities by letting data teams create logical data sets first, evaluate the data, and delay the data loading until the data sets are verified or data loading is required.

No drivers or new skills are needed to run queries on any data. Fully simulated Transact-SQL interface (wire compatible with SQL Server) enables bridged queries to Amazon Redshift.

Lyftrondata takes a unique approach to load data into Amazon Redshift by utilizing the new data streaming API available in Amazon Redshift. Data is loaded from the data source, data transformations are applied on the fly as SQL expressions and the transformed data is streamed directly to Amazon Redshift. The data is loaded without any delays and without the need to manage any space for temporary files.

Additionally, Lyftrondata may push down selected SQL transformation directly to data sources to reduce the amount of data that must be transferred.

Not at all! Lyftrondata prebuilt connectors automatically convert JSON, XML, API to normalized structure, and provide ready-to-query schemas and full search on the data catalog.

Analyze any data size in more than 35 visualization tools! The agile-data delivery model could process trillions of rows, tables and delivers unmatched BI performance and limitless scalability for Amazon Redshift users. Run real-time SQL queries on any data source. Create data sets and share them between teams and analytics tools.

The whole process right from the integration to produce actionable insights happens in less than 4 minutes- promising a time optimization by 75%.

Lyftrondata enables enterprise-level security with a built-in security model and support for standard security frameworks and protocols. Its embedded security system allows data masking, field-level restrictions and architecture that automatically scales up and down.

Yes, Offcourse! 

 With Lyftrondata modern data pipeline, you could have access to all your data points, make analysis simple for all stakeholders, and gain a holistic view of your Amazon Redshift data without any technical limitations. 

Through a governed embeddable data discovery model, users could search, tag, alias, and enrich your data with ease. The powerful agile-based platform enables enterprises to transform messy and unstructured data to facilitate and enhance their analysis.

Lyftrondata modern data hub offers a logical data warehouse where data is stored once and utilizes the memory compute for transformation, loading, and standardization.

Data virtualization offers store users a single interface — often based on SQL — to access data in multiple places or formats.

Lyftrondata integrates data virtualization, manages the unified data for centralized security, and delivers real-time data for best class performance. Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow Amazon Redshift users to integrate data on the fly.

Lyftrondata supports all the high performing big data warehouses like Hadoop, Spark, EMR, Azure, HDInsights, Databricks, etc, and next-gen cloud data warehouses like Redshift, Google Big Query and Azure SQL DW.

Lyftrondata supports Lyft, Shift and Phase migration approach which enables users to rapidly modernize applications, migrate the right workloads, and securely manage their hybrid environment.

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

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

No, Lyftrondata will help you connect with your API and normalize your API JSON output automatically so you can focus on your business and Lyftrondata will take care of the data pipeline.

Lyftrondata is providing out-of-the-box data warehouse star schema design, and BI dashboard for the customers. So, you can just use our Snowflake express solution to build your new analytics platform in no time.

Yes, Lyftrondata will provide pre-built pipelines for Stage as well as Data Warehouse.

Lyftrondata will provide you with automatic data lineage and tags-based search which will populate our data catalog engine. So, anyone like business users, data analysts, or engineers can search all their objects with ease.

No, Lyftrondata allows JSON parsing function so, you can directly use simple select syntax and have your JSON data extracted quickly as shown on this query here

JSON_PATH(LineAggregate, ‘$.[0].id’) ,JSON_PATH(LineAggregate, ‘$.[0].variant_id’),
LineAggregate from
(select top 1 * from [Snowflake_GeniusMinds].[Snowflake].[Orders]) as orders

Lyftrondata will help you ​to automatically create the schema​. It will do the auto​-​merging, auto-sync for your files, and auto​-​ingest into your target data warehouse. There​ i​s​ ​no need for any manual looping process, Lyftrondata​ will read the files from​ ​subdirectories automatically.
Lyftrondata has robust column-level security which will help you choose the access based on roles and users. Only the users you choose will get access to the pipeline, database, table, or column.

No, you are fully covered with Lyftrondata auto sync feature which help you choose delta field, select the frequency and Lyftrondata will take care of the rest.


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