
Lyftron helps us save a lot of time from searching data and moving it from Shopify and others, to Tableau. It is much advanced than the outdated data federation technology as it does the conversion in a standard SQL, while loads the data to the target using native SQL. Everything is automatic and we get full time for analysing the data. Review collected by and hosted on G2.com.
Not so much to dislike as we are still exploring and learning new functionalities of Lyftron everyday Review collected by and hosted on G2.com.
Lyftron connects ServiceNow with any target data warehouse and enables direct data loading. You thus get real-time access to ServiceNow. By a choice of your preferred BI tools you have an open playground to crunch data and make analysis. Data transformations are defined in standard SQL for higher efficiency. Review collected by and hosted on G2.com.
Lyftron could have supplementary tools to enhance data analysis, which is currently missing. Review collected by and hosted on G2.com.
Lyftron gives an enterprise level security feature that puts us at ease when swimming into the data lake. Our business is highly data sensitive and without a high data security support we can never accept a product. Lyftron satisfies us on this parameter fully. Review collected by and hosted on G2.com.
The UI is somewhat complicated. It could be simpler. Review collected by and hosted on G2.com.
Low cost while high quality of data governance and incredible performance. We particularly enjoy the high speed that we were never used to. The results are 100% accurate while the usage is simple. Review collected by and hosted on G2.com.
Do not dislike anything, but maybe a better understanding of Lyftron’s data filtering mechanism is needed to use it effectively. Review collected by and hosted on G2.com.
We saw a good deal of data traffic being efficiently handled by Lyftron. Our Snowflake data warehouse was always considered under-utilized since our data pipeline from the sources had several bottlenecks. This caused less huge amounts of data getting outdated before it reached Snowflake due to slow speed. With Lyftron the bandwidth seems to be practically infinite! Review collected by and hosted on G2.com.
Lyftron should also provide an inbuilt Firewall option meant specifically for the DW. We have to have our own currently. Review collected by and hosted on G2.com.
Without the hassles of coding, Lyftron can transfer data into Paylocity through it’s smart connectors using a normalized structure of ANSI SQL. The result is accurate and much faster than expected. Review collected by and hosted on G2.com.
Lyftron does not support all data types for Redshift. This should be addressed. Review collected by and hosted on G2.com.
The high speed as a result of Lyftron’s modern architecture is the key takeaway of the experience. The processing of data is on a bulk basis instead of row by row which results into high speed of data flow. Review collected by and hosted on G2.com.
Dashboard creation is a bit complicated. Rest all is good. Review collected by and hosted on G2.com.
Lyftron gives a greater control on data including intelligent search / tagging features. The AI improves the searchability each time and makes the performance even better. Review collected by and hosted on G2.com.
Some data types are fully compatible with Lyftron. Review collected by and hosted on G2.com.
Lyftron gives us the perfect cost-benefit advantage that we were looking for. We can choose our web service platform and still manage big data without burning a hole in the pocket. This advantage is due to Lyftron’s modern architecture that does not need a lot of coding or specialized queries. Result is cost saving which is passed on to customers like us. Review collected by and hosted on G2.com.
We don’t know if Lyftron also has its own data visualization tool. It will be nice to have. Review collected by and hosted on G2.com.
Data is transformed through Sql definitions that makes it easy for data to integrate with the data warehouses and BI tools. We like that Lyftron makes our MS OneDrive fit perfectly with several seemingly unrelated data warehouses. We can now use several data sources with multiple BI platforms without worrying for that ‘bug’ or inaccurate data chunk. Review collected by and hosted on G2.com.
Few data sources are still not compatible while using MS OneDrive. Review collected by and hosted on G2.com.
We really like how we are given the ability to evaluate the data with sufficient logics before we decide to load it and use it. Lyftron creates data sets in the loading process which really reduces the migration time tremendously. The data is tagged etc. and thus you have complete control on it to use or clean or archive it. All this with utmost safety and low cost really is the icing on the cake. Review collected by and hosted on G2.com.
We believe Lyftron is still not completely integratable with a few data sources. It’s not a showstopper but it would be good to have. Review collected by and hosted on G2.com.
Lyftron is installable on cloud, and gives us a smart data layer for our BI tool -- which is also cloud based. This integration is very efficient as the data from all sources go through minimum replication, thus become accessible on realtime basis. They also provide customizable data sets to make the experience even more smooth. Review collected by and hosted on G2.com.
Currently we incur licensing costs of our several BI tools which seem like fully integrated with Lyftron. If Lyftron can offer a BI solution too, we can save on both costs as well complexity of multiple BI platforms. Review collected by and hosted on G2.com.
We like how data is automatically delivered to our data warehouses using Lyftron. This is done using normalized schemas which also supports efficient data migration from various sources. It’s really impressive to see the range of data sources that Lyftron is currently integrated with! We anticipated challenges in migration from Hadoop and Oracle, but Lyftron made it seamless! It’s all very accurate too. Review collected by and hosted on G2.com.
There was a wait time for data warehouse integration to cloud, as it all happened step-by-step. Though it was not significant, this is something that Lyftron should consider improving. Review collected by and hosted on G2.com.
We are enjoying not only a simplified data loading process, but also efficient data warehousing. Lyftron supports us in querying our data with SQL and also parse them to relational formats. Tagging makes the data even more manageable. Infact with more control on data, we are better aware about what data is to be kept while what is to be junked. It’s smart! Review collected by and hosted on G2.com.
We expect more price benefits on a longer term subscription, like 3-years or more. Review collected by and hosted on G2.com.
Lyftron continuously detect and load incremental changes through change data logging method. This results into minimal impact on source systems and the data bandwidth, thus high speed. Their economic licensing model additionally supports Lyftron as a smarter substitute to Oracle GoldenGate. We successfully integrated large volumes of data from Netezza, Teradata, Mysql, Oracle etc. and are very happy with the ongoing speed. Review collected by and hosted on G2.com.
Lyftron should provide the facility to users for making payments on monthly basis. Review collected by and hosted on G2.com.
Our migration to Lyftron's modern data hub went through without any complications, especially because of the normalized schemas methodology. With a hybrid data warehouse we can access data from different sources on a realtime basis. We easily load data from Kafka, Apache spark, Amazon redshift, Amazon Athena and many more to Snowflake. Speed is no concern. Review collected by and hosted on G2.com.
I like it’s SQL interface. There is nothing that i dislike. Review collected by and hosted on G2.com.
Lyftron has a wide array of connectors that enhances our data collection to a new level. There is also a much needed UI-driven approach to manage, build and monitor the ETL processes that make data migration very efficient. Lyftron has the ability to function as a database host itself which transforms inbound SQL queries real time. The execution is extremely fast (1MM Odata records with Snowflake in 20 min)! There is also a flexibility to create additional connectors which helps both technical as well as non-technical users to collaborate. Review collected by and hosted on G2.com.
Lyftron doesn’t talk about potential organizational change management challenges that we faced earlier in Microsoft D365. Review collected by and hosted on G2.com.
Using Lyftron connector we do need to worry about first loading it Snowflake. We can analyze the data instantly with our BI tool. We can use Lyftron special feature to bulk load the data and it is amazing. We save a lot of time. Review collected by and hosted on G2.com.
Lyftron should have pipeline in the menu instead of inside warehouse. It will be more easy for the users. Review collected by and hosted on G2.com.
Lyftron enables data blending with an automatic pipeline. This is very good. The process is fast and the output is queryable with ANSI SQL and also visualizable on almost all BI tools with utmost accuracy. Review collected by and hosted on G2.com.
Debugging can be a hard task. It can be improved. Review collected by and hosted on G2.com.
Data migration from Vertica to Snowflake has been very easy as Lyftron deploys standard Sql for transformation but native Sql for the data warehouse. This makes the data access and the loading very fast, or real-time. We can now analyse data in our BI tools much faster. Review collected by and hosted on G2.com.
Not much to dislike. As of now Lyftron has provided me with some great solutions, Review collected by and hosted on G2.com.
We like that the data capture from Amazon DataShift is done very smartly by Lyftron. They use a change data capture, i.e. working only on exceptions through a log based approach. Thus the load of performing repeated data capture in an overriding fashion is totally avoided. As said this is really smart, and results into high speed. Review collected by and hosted on G2.com.
We are happy with services and benefits by Lyftron as of now. Review collected by and hosted on G2.com.
We get highly secured data framework where our S3 is automatically connected with Facebook ads database as well as the files. Data transformations are defined in SQL and then taken down to our data warehouse. This results in high speed. Since there is an enterprise-level security involved, features like data masking adds up to the overall value. Review collected by and hosted on G2.com.
Lyftron should come up with their own BI platform. Review collected by and hosted on G2.com.
Lyftron gives us a 360 degree view of our database which is highly dynamic in itself. The database experiences a real-time integration with several sources. So far the results are 100% accurate and fast beyond expectation. Review collected by and hosted on G2.com.
Snowflake warehouse selection is not at the pipeline level which is not the most efficient. Review collected by and hosted on G2.com.
Lyftron eliminated our need for external staging servers and their limitations. Lyftron’s connectors automatically convert source-data into normalized SQL for transferring to the data pipeline. There is a vast no. of data sources that are integrated. This gives us the freedom of choice and speed to operate. Review collected by and hosted on G2.com.
We realize that Lyftron does not have its own BI platform. It is much expected and will be a good addition, Review collected by and hosted on G2.com.
Lyftron gives us automatic connectivity of our database with the data delivery platforms. The data is also automatically loaded in Snowflake for further usage in our visualization softwares. The process is fast and error free. Review collected by and hosted on G2.com.
The UI could be more customizable and stylish. Review collected by and hosted on G2.com.