Lyft, shift and load any data into Snowflake instantly
Lyftrondata is a single powerful modern data solution which eliminates the traditional ETL/ELT bottlenecks with automatic data pipeline that makes data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.
The agile-based data delivery platform automatically connects with database, loads them in Snowflake and makes the data available in your favorite BI or analytics tool. All transformations are defined in standard SQL, which are pushed down to Snowflake in their native SQL for better performance.
Eliminate the complexity with Lyftrondata's data warehouse simplicity
Why choose Lyftrondata for Snowflake
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.
"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 Snowflake. Once the data is extracted, you could ingest it to Snowflake or BI tool of your choice with zero coding required. Lyftrondata 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.
"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 dataNext, 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.
" 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 instantlyTransform 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.
" 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 instantlyBuild delta lake on the Snowflake and save thousands of engineering hours and significantly reduce total cost of ownership. The platform handles all the infrastructure development, empowering users to skip engineering work and go straight to analysis.
" 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 caringDefine, 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. "
How to get started with Lyftrondata Team?
Lyftrondata supports Lyft, Shift and Phase migration approach which enables enterprises to migrate from legacy platforms to Snowflake with ease and allows point existing database connection to Lyftrondata. Thereby, Lyftrondata act as a intermediate layer until the migration is fully complete.
Lyftrondata Pipeline manages connections to data sources and load data to Snowflake. All transformations are defined in standard SQL and pushed down to data sources and Snowflake.
Lyftrondata connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.
Avoid needless delay in data preparation. Define virtual data sets on source data. Verify and load to Snowflake 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 Snowflake.
Lyftrondata takes a unique approach to load data into Snowflake by utilizing the new data streaming API available in Snowflake. 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 Snowflake. 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 provides ready-to-query schemas and full search on data catalog.
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, absolutely! 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 snowflake data without any technical limitations.
Lyftrondata modern data hub offers logical data warehouse where data is stored once and utilize the memory compute for transformation, loading and standardization. Data virtualization offer 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 Snowflake users to integrate data on the fly.
Lyftrondata supports all the high performing big data warehouse like Hadoop, Spark, EMR, Azure, HDInsights, Databricks, etc and next-gen cloud data warehouse 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.
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.
Yes, Lyftrondata will provide pre-built pipelines for Stage as well as Data Warehouse.
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, ‘$..id’) ,JSON_PATH(LineAggregate, ‘$..variant_id’),
(select top 1 * from [Snowflake_GeniusMinds].[Snowflake].[Orders]) as orders
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.