
We've been using Sisense for a few years now to embed analytics directly into our platform and the experience has been really positive. The ability to white-label dashboards and integrate them into our own product via the Compose SDK means our customers get a seamless analytics experience that feels native to what we've built. The flexibility to work with both live connections and ElastiCube models has been really valuable as our data architecture has evolved. The AI features like natural language querying are something our users genuinely get excited about. It's a platform that has scaled well with us and the support team has been responsive whenever we've needed them. Review collected by and hosted on G2.com.
Like any complex platform, there is a learning curve when you first get started, particularly around data modelling and the initial setup of embedded environments. Some of the more advanced configurations can take time to get right, and it's worth investing in onboarding properly to get the most out of it early on. Documentation has improved a lot over the years, but occasionally you need to dig a little deeper or lean on support for more niche use cases. These are fairly minor points for a platform of this depth and they haven't taken away from the overall experience. Review collected by and hosted on G2.com.



