We've several clients with different integration needs. Peliqan helps us to meet all kinds of integrations with low-code SQL & Python scripts. Review collected by and hosted on G2.com.

Scripting language available is only Python. Review collected by and hosted on G2.com.

Peliqan is the only tool that allows you to build a comprehensive 360-degree view of customers by integrating data from various sources. It provides the capability to combine data using both SQL and low-code scripts. While SQL is a powerful tool, there are scenarios where scripting is necessary, such as when direct join queries between tables are not possible. Review collected by and hosted on G2.com.

The documentation lacks detailed information on the SQL functions available for use. Review collected by and hosted on G2.com.

The combination of SQL & Python scripting works well for our needs. We've set up quite a few automated workflows - one of them is sending data quality alerts to Slack. Review collected by and hosted on G2.com.

Requires basic technical knowledge - not ideal for beginners Review collected by and hosted on G2.com.

I use the built-in SQL editor and Python editor to do data imports from different files from customers such as CSV files on SFTP, Excel files and Google Sheets. It's easy to access the data directly using SQL and save the queries as views. You can run the Python scripts directly in Peliqan and use Streamlit for the output. In the Python editor you can access the tables from the data warehouse and insert snippets to e.g. read the data from a table or SQL query. I like that Peliqan has a built-in data warehouse to store the data, there is no need to set it up separately. When you schedule a script to run, you can access the logs to see the results. The chatbot is handy to complete the code faster. Review collected by and hosted on G2.com.

You have to implement your own error handling in the scripts. It would be nice if that was built-in. I now log errors to a separate table. It takes some time to learn the structure of the example code to do the imports with structured data. Review collected by and hosted on G2.com.

Peliqan allows us to start using machine learning on our data, we can easily train and test out models, get predictions and send out alerts based on predications. Review collected by and hosted on G2.com.

You still need a basic understaning for machine learning to implement a model. Review collected by and hosted on G2.com.

With Peliqan we can implement RevOps for our end-customers, it's the only tool that allows us to consolidate data from many sources and implement data integrations between tools. Review collected by and hosted on G2.com.

Peliqan is very powerful but does require some technical skills. Review collected by and hosted on G2.com.

The broad range of data challenges we can solve in one place. In a few minutes we can setup a customer account and deliver our data to the customer in the format they want (data pipeline, SQL, Reverse ETL, dashboarding, interactive app, ..). The combination of a larges set of connectors, SQL and python functionality in a fully hosted platform is great. Review collected by and hosted on G2.com.

Peliqan is not a full fledged BI tool, you stilll need Metabase, Power BI or similar. Peliqan allows however easy connection to BI tools and is hosting Metabase & Apache SuperSet. Review collected by and hosted on G2.com.

Peliqan excels in its ability to automate data workflows and facilitate the activation of insights such as sending alerts and distribution of personalized reports on a weekly basis. The platform simplifies data extraction, transformation, and loading (ETL) processes, ensuring data is readily available for analysis, decision-making and data activation workflows. We use Peliqan's low-code environment with Python scripting to automate flows such as sending data alerts to Slack, processing of incoming webhooks and publishing of API endpoints to share data. Review collected by and hosted on G2.com.

Niche data sources require custom connector development. While it’s possible to code inside Peliqan, we prefer using Visual Studio, we did have to write a custom script to publish code on to Peliqan. Review collected by and hosted on G2.com.

Peliqan allows us to integrate our marketing tech stack. We can divide customer lists automatically by using several data sources and send emails and ads that are specifically targeted for them. This simplifies marketing operations and enhances campaign performance. Review collected by and hosted on G2.com.

Some of the automations in Peliqan need to be written using Python with the help of our development team. Review collected by and hosted on G2.com.

We can connect different SaaS sources in a few minutes and immediately start exploring the data in the visual grid. We can write SQL queries, assisted by the "Ask AI" feature. SQL queries can be used as views in BI and in reports. Review collected by and hosted on G2.com.

While Peliqan offers a lot of existing connectors, we had to wait a few days to get a new connector live, for a tool that was not supported yet. The Peliqan team did deliver the connector quite fast, but still had to wait a few days for it. Review collected by and hosted on G2.com.