When assessing the two solutions, reviewers found lyftrondata easier to use. However, reviewers preferred the ease of set up for Panoply along with administration. Reviewers agreed that both vendors make it equally easy to do business overall.
Reviewers felt that lyftrondata meets the needs of their business better than Panoply.
When comparing quality of ongoing product support, reviewers felt that lyftrondata is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of lyftrondata over Panoply.
Get Lyftron data loader free of cost to load your data from relational databases to Snowflake. No limit on data volume. It's free for life. Simply connect the source and load your data in just few clicks.
Feel free to setup sometime at calendly.com/lyftrondemo for more information.
I have some questions about specific features, who should I contact?
1 Comment
Official Response from Panoply
We'd love to hear from you. Feel free to send us a message here: https://panoply.io/company/contact/Read more
I am already using an ETL service can I still connect to Panoply?
1 Comment
Official Response from Panoply
Yes! Our managed data warehouse is the best way to get all of your business data in one place.Read more
How much does Panoply cost?
1 Comment
Official Response from Panoply
Annual contract: our usage-based pricing starts at $399/month for 50 GiB Query Bytes, and scales up to $1719/month for 5000 GiB Query Bytes
Monthly...Read more
Loading from Gzipped CSV is fastest way of loading from ORC and Parquet at ~15 TB/Hour. Read more
How would I connect with Mongodb and social media apps and query with ANSI Sql?
1 Comment
BW
Hello Rajaram,
You can simply choose the Mongo connector from connection dropdown and in just few click Lyftron will convert the Mongo Nosql to relational...Read more
Would I have to write a manual pipeline?
1 Comment
JS
No, Lyftrondata’s columnar pipeline unifies all data sources to a single format and loads the data to a target data warehouse for the use of analytics and BI...Read more
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