What I like best about TIMi is its ability to simplify and streamline data management and task automation.
The platform provides an intuitive interface that makes organizing, tracking, and analyzing information much easier. I particularly appreciate the automation features, which reduce repetitive manual work and improve overall productivity.
Additionally, TIMi’s integration capabilities allow it to work seamlessly with other tools and systems, creating a more connected and efficient workflow. The combination of ease of use, flexibility, and time-saving automation makes TIMi a highly valuable tool for managing tasks and data effectively. Review collected by and hosted on G2.com.
One area where TIMi could improve is in its advanced customization options. While the platform is very user-friendly and effective for general task and data management, some complex workflows or specialized reporting needs can be difficult to implement without additional configuration.
Occasionally, performance can be slightly slower when handling very large datasets, and some integrations may require extra setup or troubleshooting. Despite these minor limitations, TIMi remains a highly efficient and valuable tool for day-to-day operations. Review collected by and hosted on G2.com.
Thank you very much for the review, we are glad we helped achieve such high value for you. Your feedback that TIMi remains "highly efficient and valuable" for day-to-day operations despite the speed limitations that you mentioned in your review means a great deal to us.
Regarding speed: We acknowledge that, indeed, sometimes, you need some careful thinking to get the highest speed when handling large datasets (in the order of the dozens of billions of records) with TIMi.
For example, sorting data at this scale is always an expensive operation that might run several minutes if the wrong algorithm is used.
This is also why Anatella has 3 different join functions: one that requires sorting beforehand (highly efficient and very fast; handles massive tables of 1e15 rows; but it requires sorted data ) and two that will handle joins in memory without requiring any kind of sort (regardless of the size of the master table).
To summarize, on large datasets, choosing the right Sort box/algorithm and using the right Join box/algorithm does a world of difference.
Please feel free to reach out to us to get advices on how to obtain a higher speed from our solution. We're always eager to help our users achieve the impossible.
Thank you again for being a TIMi user and for helping us improve.
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This reviewer was offered a nominal gift card as thank you for completing this review.
Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.
