The ultimate warehouse for unbeatable security, insights, and confidence
Next-generation data warehouse built for performance and advanced analytics
Lyftrondata Warehouse handles today’s data challenges and enables enterprises to stay on top of an avalanche of data. The modern architecture and enterprise-class integration is powered by AI-driven automation, which allows users to bring together all data at any scale and get advanced analytics in a fraction of minutes.
The large-scale, high-performance and cost-effective warehouse is designed to collect the data from more than 100 sources, transform it with familiar SQL and collect it in favorite BI tools for instant insights, all of this with zero coding absolutely.
With Lyftrondata Warehouse’s agile-based infrastructure, you could build huge applications easily and ensure end-to-end meta-data management for data warehousing initiatives. Lyftrondata is a data layer for analytics that combines traditional data loading with Logical Data Warehousing to improve collaboration and simplify data management.
Eliminate the complexity with Lyftrondata's simplicity
How it works
Get started with bulk data loading of selected data from the source of your choice to the Lyftrondata Warehouse. The Logical Data Warehouse layer of Lyftrondata provides parallel access to both Lyftrondata Warehouses and all data sources in one place. The self-service data management portal empowers data-savvy users in their routine tasks.
Business benefits of Lyftrondata warehouse
From data to analytics, in a matter of seconds
Empower your analytics with simple, codeless, automated API relational data models
Built for the agile data culture
We enable any non-technical person to analyze the data from API, without worrying about coding. Simply connect your source and run ANSI SQL queries.
I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for API sources, which used to be taboos for me.
Load your data into Lyftrondata warehouse or lake. Else, connect with your data warehouse
Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.
I have a better response from the BI reports and am able to connect with API/Json/XML based sources in just a few 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 codings and drive data-driven insights. This data sharing ability is perfect for companies that 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. 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
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.
Lyftrondata - warehouse integration architecture
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:
Lyftrondata easy-to-implement transformation functions supported for
Lyftrondata warehouse for everyone
With Lyftrondata Warehouse agile-based infrastructure, you could build huge applications easily and go from raw data to powerful insights in a fraction of minutes. Lyftrondata is a data layer for Analytics that combines traditional data loading with Logical Data Warehousing to improve collaboration and simplify data management.
Lyftrondata modern data hub offers a logical data warehouse where software data is stored once and utilizes the memory compute for transformation, loading, and standardization. Data virtualization offers users a single interface — often based on SQL — to access data in multiple places or formats.
Lyftrondata integrates data virtualization, manages the unified accounting 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 finance users to integrate data on the fly.
Lyftrondata speeds up the data preparation process so that the focus is less on cleaning the data and more on gaining insights in the shortest time possible. Such self-service data preparation systems, collaborative data modeling, and instant logical data warehousing allow different live
of functions to work together and deliver fast.
START PLANNING YOUR MODERNIZATIONWant more information about how to solve your biggest data warehousing challenges? Visit our resource center to explore all of our informative and educational ebooks, case studies, white papers, videos and much more.
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Supported data sources
Supported BI/ML tools
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