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Copy file name to clipboardExpand all lines: website/blog/2024/announcing-1.0-stable.mdx
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@@ -108,7 +108,7 @@ Here are some examples of how Spice.ai OSS solves real problems for these teams.
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A core requirement for many applications is consistently fast data access, with or without AI. Twilio uses Spice.ai OSS as a data acceleration framework or [Database CDN](https://materializedview.io/p/building-a-cdn-for-databases-spice-ai), staging data in object-storage that's accelerated with Spice for sub-second query to improve the reliability of critical services in its messaging pipelines. Before Spice, a database outage could result in a service outage.
"Spice opened the door to take these critical control-plane datasets and move them next to our services in the runtime path."
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-**Mission-Critical Reliability**: Reduced reliance on queries to databases by using Spice to accelerate data in-memory locally, with automatic failover to query data directly from S3, ensuring uninterrupted service even during database downtime.
"With a simple drop in container, we are able to double our data redundancy by using Spice."
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Barracuda uses Spice.ai OSS to modernize data access for their email archiving and audit log systems, solving two big problems: slow query performance and costly queries. Before Spice, customers experienced frustrating delays of up to two minutes when searching email archives, due to the data volume being queried.
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<Quotename="David Stancu"title="Senior Principal Software Engineer"company="Barracuda"imageUrl="https://media.licdn.com/dms/image/v2/C4D03AQHaYpFkb8Ef7g/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1544111919218?e=1752105600&v=beta&t=B5GWqrT-2siWX3ItS8gc-LZJw1d7tCT3J8c0IPbjUF4">
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<Quotename="David Stancu"title="Senior Principal Software Engineer"company="Barracuda"imageUrl="/img/blog/2024/announcing-1.0-stable/david-stancu.jpeg">
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"It's just a huge gain in responsiveness for the customer."
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It just kinda spins up and it just works, which is really nice.
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NRC Health uses Spice.ai OSS to simplify and accelerate the development of data-grounded AI features, unifying data from multiple platforms including MySQL, SharePoint, and Salesforce, into secure, AI-ready data. Before Spice, scaling AI expertise across the organization to build complex RAG-based scenarios was a challenge.
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<Quotename="Dustin Warner"title="Director of Software Engineering"company="NRC Health"imageUrl="https://media.licdn.com/dms/image/v2/D5603AQHWZwH7esT5IQ/profile-displayphoto-shrink_800_800/B56ZQZBMHgHQAc-/0/1735586530665?e=1752105600&v=beta&t=ZtIiLnLrGLu0DH7BpoKyF9R5hBqu6Y1OEor_MNBk08s">
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<Quotename="Dustin Warner"title="Director of Software Engineering"company="NRC Health"imageUrl="/img/blog/2024/announcing-1.0-stable/dustin-warner.jpeg">
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"What I like the most about Spice, it's very easy to collect data from different data sources and I am able to chat with this data and do everything in one place."
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-**Accelerated Time-to-Market**: Centralized data integration and AI model serving an enterprise-ready service, accelerating time to market.
"I explored AI, embeddings, search algorithms, and features with our own database. I read a lot about this, but it was so much easier to use Spice than doing it from scratch."
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