Velocity
0
+
Data Warehouse Parallel Queries
Speed
0
%
Faster Results To Insights
Cost
0
%
reduction in cost
Time
0
X
Faster Implementation
Density
0
X
Faster migration
Simplicity
0
X
Faster learning
Lyftron named a high performer & ranked #1 in customer satisfaction
5/5
47+Reviews
Very nice tool for data lineage and data integration projects
Lyftron is very good tool for ETL platform as it has got the capability to ingest both structured (flat files, tables etc) , unstructured social media data and bring it in its clusters.From there onwards we can query and validate the data using ANSI SQL queries and then distribute or load the data as per our requirement.
Ultimate platform for logical data warehousing and Teradata migration to Snowflake
I worked on various ETL tools like Informatica, ssis,Datastage and all these tools require you to code your ETL jobs manually whereas in case of lyftron you can build jobs and move the data instantly in few clicks and also utilize lyftron data hub caching power to store the data on Lyftron so, data is available instantly without worrying about querying again from the sources.
Brand new technology! It is the next-generation Data Management Platform/Hub!
Lyftron is an amazing new technology and will replace traditional ETL tools as we have known them the last 10 years. We have designed and developed Lyftron, a brand new product that turns your Data Warehouse database into a true Data Hub. Lyftron is a modern data management platform that shortens the time to access data by 75%.
Creative and Innovative technology that simplifies and automates. Unique and Relevant
Lyftron solves the problem and streamlines modern data pipelines for Snowflake and Redshift. Easy to use, easy to implement. Enables speed and efficiency. Reliable and reduces risk for the enterprise.
Ground Breaking Stuff
It is right on spot for our data hub needs.One can connect to any data source on the planet.The solution is so comprehensive that it makes rest of integrations redundant.
S3 Data Lake for Sales & Marketing Analytics
Lyftron was impressively successful in auto replicating and normalizing data from API sources like Shopify, Marketo, Piwik, Retention Science, Facebook, Twitter, Google Sheet, Google Analytics and Elastic Search, Oracle into Amazon S3. It also provided our business with secure advanced encryption. Automated data type mapping.
Great platform for managing data
Through Cloud technology, we partners can have full visibility of data. This helped us to boost collaboration.
Best Tool for Hybrid Cloud Management
It helps us resolve our pain point of hybrid cloud management as we wanted to go with Snowflake but some data on premise also for some time. After opting for snowflake cloud based data warehouse with Lyftron. It massively helped us to resolve all the issues we facing earlier with traditional way of data management.
Best Data Hub Platform for Snowflake, Redshift & Bigquery
Legacy database migrations from Oracle, existing data lake on Hadoop to S3 and then gradually moved to Snowflake to build the data vault. We did some small POC on how to segment the tables with tags and it comes handy based on our use case as now our application developer and users can search the tables, fields and databases that they are working on in few clicks.
Lyftron – Takes away some of the complexities of ETL
The ability to view data from several different sources without having to worry about the complexities of knowing the correct SQL/NOSQL syntax.
Lyftron is a very good tool for Cloud migration
Its prebuilt connectors, the ease of creating pipeline by just few clicks. Tagging feature under business terms in very thoughtful and effective to pull the data instantly. The interface is extremely easy to use and requires no coding at all
Best tool to eliminate bottleneck of ETL/ELT
Lyftron has exceptionally well planned engineering. It provided us with every possible solution we could have not thought using ETL. Lyftron connects to data sources and imports metadata. It also provides real time data just by registering essential data sets in Catalog.
Best tool for loading data to Google Bigquery Data Warehouse
Lyftron helped to simplify data loading to Google Bigquery data warehouse. It acts as a data layer for our Business Intelligence tool. We are able to find data sets across all data sources, Data warehouse and data lake in one place. Which made it convenient to locate desired data without any delays.
Best ELT tool for Snowflake data warehouse & data catalog
Loading and analyzing 200TB on data on each load into snowflake data warehouse was made so easy by Lyftron one click bulk loader. Lyftron ELT helped us to store and analyze data and made easy to amass all the difficulties associated with delivering analytics by building data pipeline automatically and now we can cross join many sources with simple ANSI Sql platform which was not possible with the ETL tool we were using. As we first need to unload the data into the database before doing the join.
Good tool for data management
Lyftron is truly modern data hub as data is transformed, loaded and standardized by storing the data once and utilizing memory computation. As security of data is the top most priority, Lyftron makes sure by not compromising this aspect of their clients by assigning security levels to all users and allow them to access the relevant data.
Instant logical data warehousing with collaborative data-modelling capabilities
We achieved unrestrained access to very popular data sources and never encountered data lags. Lyftron gave us a smart data replication experience, thus opening doors for complex analytics and advanced reports to our team.
Superior data management with reasonable costs
We have an advanced encryption option to safeguard our confidential data with Lyftron. The automated data type mapping keeps detecting and loading incremental data to the target. The impact on source systems can be imagined huge, but Lyftron does this without frustrating or overloading the source systems.This gives full control to our data and literally ‘live updates’ to our analytics team.
Great Product
No ETL/ELT needed anymore. Cost is fairly easy to project and allocate. Lyftron enable you to connect with 100+ data sources and query them as a simple ANSI Sql.
Lyftron Review
Lyftron is a good product to build data hub in the cloud and transform data from Salesforce, Facebook, google, marketo platforms and able to analyze it instantly with sql. I loved this tool as it doesn’t require any coding and as a business analyst it helps me a lot as I can query data from api based sources without worrying about coding.
Previous
Next
Revolutionary Lyftron way to build agile, data culture
Lyftron Way
Old Way
Make better, quicker business decisions with Lyftron's simple, agile steps
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to modern cloud data warehouse, do it all with Lyftron.
Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse, analyze it instantly with ANSI Sql, BI/ML tools and share your data without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization by automatically normalizing API/Json/XML/S3/Blob/NoSql sources into ready-to-query relational format which results in eliminating traditional ETL/EDW bottlenecks to advance your business.
-
Connect -
Normalize -
Analyze -
Warehouse -
Visualize -
Data Sharing
Integrate your data from 150+ sources instantly
Register over 100+ types of data sources in one place. Choose the most valuable data sources and replicate them to the cloud.
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 simple, codeless, automated API relational data models
We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML with ANSI Sql.
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
We enables any non technical person to analyze the data from API without worrying about any coding. Simple connect your source and run ANSI sql queries.
SELECT o.userid, o.order_id, o.amount, case when p.status="Active" then 1 Else 0 end as status, p.currency, pay.fee FROM [ order ] o INNER JOIN [ payouttransactions ] pay ON o.id = pay.id INNER JOIN [ payouts ] p ON p . id = pay.id
ORDER BY o . locationid
| User-id | Order-id | Amount | Currency | Fee |
|---|---|---|---|---|
| 1 | 187453 | $20 | $ | $123 |
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 Lyftron warehouse or lake instantly or connect with your data warehouse.
Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.
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.
Analyze your data from any BI/ML tools
Create a canonical data model that is shared between BI tools. Build a shared data catalog of valuable data sources.
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 with zero code 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 the future. We build the best data sharing process around your data stack. So say goodbye to the complex API, FTP and Email manual data sharing processes and simple on board your consumers to the Lyftron platform in just few minutes mins.
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.
Learn how Lyftron can change your data strategy
Data driven companies call Lyftron a great friend
Lyftron helped to simplify data loading to Google Bigquery data warehouse. It acts as a data layer for our Business Intelligence tool. We are able to find data sets across all data sources, Data warehouse and data lake in one place. Which made it convenient to locate desired data without any delays.
Sucheta M | Sr. EDW/ETL ArchitectSharecentive | Social Media & Advertising
We loved that with Lyftron there is no requirement of api or time consuming parsing jobs for xml or json. This is all automated. Data gets converted into relational format so that it can be queried using simple ANSI sql. This really boosts the efficiency of replication and gives the data analyst in our company a great confidence upon the data integrity.
Sridhar Janakiraman | CEO & Co FounderKori | Food & Beverages
I was totally impressed with the data model of Shopify. Lyftron could easily connect with the Shopify database and files,
supported in loading them in a cloud data warehouse of our choice. It also ensures that our customer data is always up to date and we could concentrate more on other factors. Lyftron processes real-time data from multiple marketing streams and empowers us to examine which campaign is working best. Lyftron supports many data sources like mandrill, memsql, experian, klaviyo, marin software, amazon rds, salesforce, marketo, google analytics, facebook.
Srinivas G | Sr. ETL/EDW ArchitectOrange Panda | Ecommerce
It helps us resolve our pain point of hybrid cloud management as we wanted to go with Snowflake but some data on premise also for some time. After opting for snowflake cloud based data warehouse with Lyftron. It massively helped us to resolve all the issues we facing earlier with traditional way of data management.
Rahul S | Sr. ETL/Data ArchitectSeva Cars | Travel & Tourism
Lyftron has incomparable integration abilities which really simplifies syncing data from many different sources like amazon, shopify and ebay into our preferred Snowflake. Its ability to transform data through standard SQL is extremely helpful too. Finally since the data is sent to Snowflake in native sql, there is of course improved performance and thus confidence in the data integrity.
Richard J | Director of Data ManagementFortune Timepieces | Ecommerce
Lyftron was impressively successful in auto replicating and normalizing data from API sources like Shopify, Marketo, Piwik, Retention Science, Facebook, Twitter, Google Sheet, Google Analytics and Elastic Search, Oracle into Amazon S3. It also provided our business with secure advanced encryption. Automated data type mapping. The best feature I love about the product is that it automatically converts API Json layouts to relational formats and let non technical people analyze the source data without having the know how of the source system which saves a lot of time. So now Data Analyst and Business Analyst from our team can analyze the data without having any dependency on our data engineering team.
Atul Kakar | Co-FounderSocialheit | Sales & Marketing
Lyftron has exceptionally well planned engineering. It provided us with every possible solution we could have not thought using ETL. Lyftron connects to data sources and imports metadata. It also provides real time data just by registering essential data sets in Catalog.
Anupam Jaiswal | CTONcameo | Data Engineering
Lyftron helped to simplify data loading to Google Bigquery data warehouse. It acts as a data layer for our Business Intelligence tool. We are able to find data sets across all data sources, Data warehouse and data lake in one place. Which made it convenient to locate desired data without any delays.
Sucheta M | Sr. EDW/ETL ArchitectSharecentive | Social Media & Advertising
We loved that with Lyftron there is no requirement of api or time consuming parsing jobs for xml or json. This is all automated. Data gets converted into relational format so that it can be queried using simple ANSI sql. This really boosts the efficiency of replication and gives the data analyst in our company a great confidence upon the data integrity.
Sridhar Janakiraman | CEO & Co FounderKori | Food & Beverages
I was totally impressed with the data model of Shopify. Lyftron could easily connect with the Shopify database and files,
supported in loading them in a cloud data warehouse of our choice. It also ensures that our customer data is always up to date and we could concentrate more on other factors. Lyftron processes real-time data from multiple marketing streams and empowers us to examine which campaign is working best. Lyftron supports many data sources like mandrill, memsql, experian, klaviyo, marin software, amazon rds, salesforce, marketo, google analytics, facebook.
Srinivas G | Sr. ETL/EDW ArchitectOrange Panda | Ecommerce
It helps us resolve our pain point of hybrid cloud management as we wanted to go with Snowflake but some data on premise also for some time. After opting for snowflake cloud based data warehouse with Lyftron. It massively helped us to resolve all the issues we facing earlier with traditional way of data management.
Rahul S | Sr. ETL/Data ArchitectSeva Cars | Travel & Tourism
Lyftron has incomparable integration abilities which really simplifies syncing data from many different sources like amazon, shopify and ebay into our preferred Snowflake. Its ability to transform data through standard SQL is extremely helpful too. Finally since the data is sent to Snowflake in native sql, there is of course improved performance and thus confidence in the data integrity.
Richard J | Director of Data ManagementFortune Timepieces | Ecommerce
Lyftron was impressively successful in auto replicating and normalizing data from API sources like Shopify, Marketo, Piwik, Retention Science, Facebook, Twitter, Google Sheet, Google Analytics and Elastic Search, Oracle into Amazon S3. It also provided our business with secure advanced encryption. Automated data type mapping. The best feature I love about the product is that it automatically converts API Json layouts to relational formats and let non technical people analyze the source data without having the know how of the source system which saves a lot of time. So now Data Analyst and Business Analyst from our team can analyze the data without having any dependency on our data engineering team.
Atul Kakar | Co-FounderSocialheit | Sales & Marketing
Lyftron has exceptionally well planned engineering. It provided us with every possible solution we could have not thought using ETL. Lyftron connects to data sources and imports metadata. It also provides real time data just by registering essential data sets in Catalog.
Anupam Jaiswal | CTONcameo | Data Engineering
Why you should
consider Lyftron for
your Snowflake
Implementation?
Play Video
Play Video
Learn why data-driven
enterprises do not
need traditional
ETL/ELT platforms
anymore
Simple, codeless, automated API relational data models
Experience the power of the cloud with our modern data ecosystem
Supported data sources
Supported BI/ML tools
Resources for data driven enterprises
Satisfy your thirst for better data outcomes.
We’re here to listen. Tell us about your requirements.
What challenges are you trying to solve?
What challenges are you trying to solve?
Subscribe now
AwardS
Lyftron in News
