Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements that…
The following is a quick overview of editions offered by other software in similar categories
Segment is a customer data platform that helps engineering teams at companies like Tradesy, TIME, Inc., Gap, Lending Tree, PayPal, and Fender, etc., achieve time and cost savings on their data infrastructure, which was acquired by Twilio November 2020. The vendor says they also enable Product, BI,…
SALESmanago is a Customer Engagement Platform for eCommerce marketing teams, including AI-driven solutions that boast users among 2000+ mid-size businesses in 50 countries, as well as global brands such as Vodafone, Lacoste, New Balance and Victoria’s Secret.SALESmanago aims to improve eCommerce…
Amplitude Analytics is an analytics platform for mobile and web. It is designed to help organizations segment users and analyze funnels, retention and revenue. Amplitude Analytics helps you achieve actionable insights from customer digital journeys and uses behavioral graphs to build customer…
I am not sure about the pricing itself, but I think treasure data still is a crucial project that we ave
Treasure Data has allowed us to save cost on investing in staff and infrastructure building out a mass data storage … it easy for us to integrate and focus on the tasks at hand. There may be cheaper options but we do not regret our decision to go with Treasure Data one
Cost for lead in Marketing campaigns have been optimised using audience creation
Treasure Data has more customizations plus the cost factor.
Cost of deployment and licensing is lower than previous platforms Access of data … ideal), large and better out of the box features/connectors, better UI, cost, integrated audience studio and active data layer (real time access data)
Pricing
needs to pay for more cores As data are increasing, some workflows are too expensive and need to be rethought / made more efficient --> this means re-designing
Treasure Data to orchestrate our customer journey, track customer acquisition cost, monitor multi-touch attribution, and data visualization. As an emerging enterprise-level
current use cases. Allows us to bring many 3rd-party tools in-house, which is a cost-saver and allows the platform to pay for itself. Brings our data together … and data and easier to have everything in one place. Additionally, it's a cost savings. … being single-threaded like we noticed some of the…
native integrations that help build this data unification. This is a very expensive tool, and it would not be recommended for companies that are just starting
mid-funnel avenues so we can digitally target the potential client in the most cost-effective way.
segmentation capabilities have been invaluable in helping us identify our highest value clients for audience activation and Lookalike modeling on paid social and … attributes and behaviors and has helped us identify what our highest lifetime value client looks like. We have also been able to run more lifecycle marketing … with the help of our customer success rep which has also…
user-friendly GUI made it approachable to all levels of professional, thus adding value to technical complexity used by human resources. Unmatched instant support
Price Updates and inserts on presto SQL Presto SQL IDE More comprehensive presto
chosen before I arrived at the organization. Also, I'm not person who's in charge or writing the queries which means that I let someone know what I need to
Pricing is a bit of a black box. We are currently priced on split hour usage and some spikes come out of … case for a company who is seeking to use a third-party (and at times, expensive) solution to automate the centralization of their data, even if it comes &he…
offer better performance at a lower cost. BigQuery's pricing on just the data scanned rather than cost of computation is far more attractive than Treasure … us—we've essentially scaled quite quickly so the current plan is becoming expensive for us. It's quite slow, but that's due to lack of computational resource … helped in answering important business questions. We'r…
Treasure Data has provided the value of a full data engineer for half the cost. Treasure Data has improved our analysts capabilities … However, one area where Redshift shines and Treasure Data does not is in its pricing model. Auto-scaling is a great feature in Redshift, whereas…
was positive for us. Depending on the amount of data ingested monthly, the cost for Treasure Data could be high for some companies.
be improved compared to other tools. Pricing can be made more flexible and customized. This will also make it cheaper for specific users or users who require
several tools instead of just one. This is something to consider if the price is not an important feature.
Best balance of price, data collection, query engine, workflow engine and especially data output
Treasure Data, is either in organisations which are too small to pay the fee and must resort to open source solutions, or organisations so large and sophisticated … possible ensuring data pipeline integrity and the most time actually creating value as a Data Team.
Treasure Data is more cost effective than Leanplum, has more functionality then Mode or App Annie, although
