Zepl makes multi-language analytics straightforward by allowing Python, R, and SQL within the same notebook environment. The built-in cloud connectivity to major data warehouses simplifies querying large transactional datasets without heavy local setup. Additionally, its enterprise access controls and notebook sharing capabilities make it convenient for analysts to present data findings and collaborate with compliance and audit stakeholders. Review collected by and hosted on G2.com.

The user interface can occasionally feel slow or unresponsive when rendering extensive data visualisations and handling very large result sets. Documentation around custom library installations and niche integrations could be more comprehensive. Furthermore, managing workspace permissions and compute instance costs requires careful administrative oversight to prevent unexpected usage spikes. Review collected by and hosted on G2.com.