Peliqan Reviews & Product Details

We compared different tools and Peliqan offered us the most cost-effective solution for integrating our data compared to the other ETL tools. The pricing model aligns perfectly with our needs. We use quite a few of the built-in connectors. They also provide a custom connector service, the cost was OK for building out 2 connectors. Review collected by and hosted on G2.com.

The tool is not no-code, instead it requires knowledge of SQL and Python, but this give you full freedom to implement e.g. transformations before landing the data in our data warehouse. Review collected by and hosted on G2.com.

Peliqan makes it simple to connect with our different SaaS tools - our CRM, customer database, and marketing automation software. Using SQL and the low-code Python, we've automated our sales analytics and lead distribution workflow. Review collected by and hosted on G2.com.

Would like to see more pre-built templates for lead scoring models. Review collected by and hosted on G2.com.

Peliqan is used by our customer success team to provide a unified view of customer data. We can access customer usage data from various applications, identify potential churn risks, and proactively reach out to at-risk customers with personalized support. Review collected by and hosted on G2.com.

There are no pre-built customer health score dashboards in the product. We use Metabase connected to Peliqan to build the dashboards. Review collected by and hosted on G2.com.

It connects our marketing tools and CRM straightforward. Being able to write SQL queries and Python scripts in one place has really simplified our workflow. We use Metabase for visualization and the integration works seamlessly. The visual grid makes it easier to review our data before running transformations. Review collected by and hosted on G2.com.

Peliqan Docs - could use more detail, especially common use cases and examples. Review collected by and hosted on G2.com.

Peliqan is the only tool that allows you to build a 360 customer view based on a wide range of sources, with the ability to combine data using a combination of SQL and low-code scripts. SQL is a great tool but for some use cases, a script is needed, e.g. when you cannot do direct join queries between tables. Review collected by and hosted on G2.com.

The documentation does not go into a lot of detail on the SQL functions that can be used. 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.