Find out what your peers are saying about Snowflake Computing, DATPROF, Tonic.ai and others in AI Synthetic Data.
Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.
Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.
Its platform is made up of three components:
Snowflake has many valuable vital features. Some of the most useful ones include:
There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.
Below are quotes from interviews we conducted with users currently using the Snowflake solution:
Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."
A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
Tonic.ai transforms data for software and AI developers to get them the usable data they need to build applications and train AI models effectively. Through industry-leading data de-identification, synthesis, and subsetting, our products enable on-demand access to safe, high-fidelity versions of structured, semi-structured, and free-text data for software testing and AI model training. Advance AI initiatives, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.
The Tonic.ai product suite comprises four flagship products:
Tonic Structural is a developer platform for data masking, synthesis, and subsetting to keep test data useful, compliant, and in sync across testing and development environments. Through an intuitive UI and native data connectors, Structural makes it easy to generate realistic test data on demand that looks, acts, and feels like production data because it’s made from production data. Build better, faster, and safer by hydrating your environments with high-fidelity test data from Tonic Structural, the all-in-one test data management solution built for today’s developers.
Tonic Textual enables teams to put their unstructured data to use in AI development while safeguarding against sensitive data leaks and ensuring regulatory compliance. Textual extracts free-text data from wherever it’s stored, detects sensitive information using proprietary NER models, and redacts or synthesizes that information to generate compliant unstructured datasets, ready for use in production or outside of your organization. Thanks to Textual’s secure data de-identification, you can confidently use your free-text data in AI development, from internal RAG systems and model training to external partnerships.
Tonic Ephemeral makes it easy to create isolated test databases for streamlined data management so you can eliminate wait times and ship features faster. Spin up fully hydrated test and development databases on-demand or automatically as part of your CI/CD pipeline for software testing, bug reproduction, demos, and more. Stop losing time provisioning and maintaining databases yourself—equip your developers with the ready-to-go data they need to keep fast-paced projects on track with Tonic Ephemeral.
Tonic Validate is an open-source framework for rigorously evaluating your RAG system, providing metrics and visualizations to monitor the performance of each component in your RAG system during development and in production. Validate offers collaboration and compliance features so that technical and non-technical teams can work together to develop production-ready, enterprise RAG systems.
What features does Tonic.ai offer?
What benefits and ROI can users expect?
Founded in 2018, with offices in San Francisco, Atlanta, and New York, Tonic.ai is pioneering enterprise tools for data de-identification, synthesis, and subsetting, in pursuit of our mission to make data usable. Thousands of developers use data generated with Tonic on a daily basis to build their products faster in industries as wide ranging as healthcare, financial services, logistics, edtech, and e-commerce. Working with customers like eBay, Cigna, Texas Capital Bank, and Volvo, Tonic.ai innovates to advance our goal of advocating for the privacy of individuals while enabling companies to do their best work. For more information, visit https://www.tonic.ai.
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