Build Azure Synapse data Warehouse
Securely and Swiftly

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

Lyftron Data Pipeline manages connections to data sources and loads 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 Azure Synapse 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 Azure Synapse 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 pre-built connectors automatically convert JSON and XML API to normalized structure and provide ready-to-query schemas and full search on 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 Azure Synapse 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, absolutely! With Lyftrondata modern data pipeline, you could have an access to all your data points, make analysis simple for all stakeholders, and gain a holistic view of your Ecommerce store without any technical limitations.

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

Lyftrondata modern data hub offers logical data warehouse where data is stored once and utilizes 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 Azure Synapse 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 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.

Please write to us at hello@lyftrondata.com 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 Ecommerce customers. So, you can just use our Ecommerce 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

select JSON_PATH(LineAggregate, ‘$.[0].id’),JSON_PATH(LineAggregate,‘$.[0].variant_id’),

LineAggregate from

(select top 1 * from [Vertica].[Vertica].[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 is 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 user. 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.