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
Why choose Lyftrondata for Amazon Redshift
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 modelConnect 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.
"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 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.
" 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 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.
" 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. "
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.
Access advanced reports for better insights on your Amazon Redshift Database Warehouse data. Get insights across products, channels, customer lifetime value, and more.
Complex Data Parsing capabilities are built into the tool – Access and parse complex data types including Weblogs, JSON, and XML files.
Maintain protected and resiliency against constant cyber threats through our secured Lyftrondata architecture.
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.
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.
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.
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.
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