Tigris Data
@tigrisdata.com
Tigris is a globally distributed S3-compatible object storage service that provides low latency anywhere in the world. | https://tigrisdata.com | Based in SFO
Building a hosted MCP server? Auth shouldn't be the hard part. We open-sourced our MCP OIDC provider, a minimal, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
Blog + code 👇
February 12, 2026 at 5:35 PM
Building a hosted MCP server? Auth shouldn't be the hard part. We open-sourced our MCP OIDC provider, a minimal, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
Blog + code 👇
If you're a developer, you live in the command line. Tigris' new CLI lets you supercharge your shell with bucket forking, object management, and more all from one easy to use program. It's just an npm install away:
npm install -g @tigrisdata/cli
npm install -g @tigrisdata/cli
February 10, 2026 at 5:31 PM
If you're a developer, you live in the command line. Tigris' new CLI lets you supercharge your shell with bucket forking, object management, and more all from one easy to use program. It's just an npm install away:
npm install -g @tigrisdata/cli
npm install -g @tigrisdata/cli
Fun fact: object storage (AKA: cloud based unlimited FTP server) is actually a key-value store under the hood! There's nothing stopping you from using it as one! Today's blogpost covers the gorey details about how and why you'd want to do that.
January 20, 2026 at 3:52 PM
Fun fact: object storage (AKA: cloud based unlimited FTP server) is actually a key-value store under the hood! There's nothing stopping you from using it as one! Today's blogpost covers the gorey details about how and why you'd want to do that.
More teams are moving out of Big Cloud to neoclouds better built for AI workloads. How does the growth of neoclouds change the storage layer?
Our CEO talked with @thenewstack.io about the new cloud and how distributed computing is taking over and what that means for storage.
🔗👇
Our CEO talked with @thenewstack.io about the new cloud and how distributed computing is taking over and what that means for storage.
🔗👇
January 14, 2026 at 7:44 PM
More teams are moving out of Big Cloud to neoclouds better built for AI workloads. How does the growth of neoclouds change the storage layer?
Our CEO talked with @thenewstack.io about the new cloud and how distributed computing is taking over and what that means for storage.
🔗👇
Our CEO talked with @thenewstack.io about the new cloud and how distributed computing is taking over and what that means for storage.
🔗👇
What a year!
From $25M funding to Git-like bucket forks, our 2025 was all about powering modern AI workflows with fast, flexible object storage.
Catch the highlights! 👇
From $25M funding to Git-like bucket forks, our 2025 was all about powering modern AI workflows with fast, flexible object storage.
Catch the highlights! 👇
January 8, 2026 at 9:34 PM
What a year!
From $25M funding to Git-like bucket forks, our 2025 was all about powering modern AI workflows with fast, flexible object storage.
Catch the highlights! 👇
From $25M funding to Git-like bucket forks, our 2025 was all about powering modern AI workflows with fast, flexible object storage.
Catch the highlights! 👇
Chunking is a primary control knob for RAG quality. Compare chunking strategies using a reproducible pipeline:
• @qdrant.bsky.social for per-experiment indexing and retrieval diffs
• Tigris (Forked Buckets) for dataset versioning
• CrewAI to orchestrate ingest → chunk → embed → evaluate
Code 👇
• @qdrant.bsky.social for per-experiment indexing and retrieval diffs
• Tigris (Forked Buckets) for dataset versioning
• CrewAI to orchestrate ingest → chunk → embed → evaluate
Code 👇
January 6, 2026 at 5:20 PM
Chunking is a primary control knob for RAG quality. Compare chunking strategies using a reproducible pipeline:
• @qdrant.bsky.social for per-experiment indexing and retrieval diffs
• Tigris (Forked Buckets) for dataset versioning
• CrewAI to orchestrate ingest → chunk → embed → evaluate
Code 👇
• @qdrant.bsky.social for per-experiment indexing and retrieval diffs
• Tigris (Forked Buckets) for dataset versioning
• CrewAI to orchestrate ingest → chunk → embed → evaluate
Code 👇
Tigris lets you fork your buckets like you fork your code. How did we do it? We made our data plane append-only. To do this you have to make your log (of objects inserted) into the database.
January 1, 2026 at 7:55 PM
Tigris lets you fork your buckets like you fork your code. How did we do it? We made our data plane append-only. To do this you have to make your log (of objects inserted) into the database.
2025 sure was something eh? Next year give yourself the ultimate new year's resolution: switching to object storage with unhateable IAM. Take that, infrastructure Sisyphus!
Read more on the blog: www.tigrisdata.com/blog/iam-pol...
Read more on the blog: www.tigrisdata.com/blog/iam-pol...
December 30, 2025 at 4:54 PM
2025 sure was something eh? Next year give yourself the ultimate new year's resolution: switching to object storage with unhateable IAM. Take that, infrastructure Sisyphus!
Read more on the blog: www.tigrisdata.com/blog/iam-pol...
Read more on the blog: www.tigrisdata.com/blog/iam-pol...
Availability is more important than ever. You don't have to lock into a big cloud to get 99.99+ % availability-- Tigris makes the same guarantees, with public data to back it up.
We made our availability metrics public: bytes up bytes down, no funny business.
Check out the live dashboard 👇
We made our availability metrics public: bytes up bytes down, no funny business.
Check out the live dashboard 👇
December 25, 2025 at 5:20 PM
Availability is more important than ever. You don't have to lock into a big cloud to get 99.99+ % availability-- Tigris makes the same guarantees, with public data to back it up.
We made our availability metrics public: bytes up bytes down, no funny business.
Check out the live dashboard 👇
We made our availability metrics public: bytes up bytes down, no funny business.
Check out the live dashboard 👇
Tigris delivers 4× higher throughput than S3 and 20× higher than R2 for small object workloads — 5.3× / 86.6× faster on reads. 🔥
Running training / inference on CoreWeave, Together AI, Lambda Labs, etc? You don’t need to stay locked into one big cloud to get performance.
Run the benchmarks👇
Running training / inference on CoreWeave, Together AI, Lambda Labs, etc? You don’t need to stay locked into one big cloud to get performance.
Run the benchmarks👇
December 23, 2025 at 4:55 PM
Tigris delivers 4× higher throughput than S3 and 20× higher than R2 for small object workloads — 5.3× / 86.6× faster on reads. 🔥
Running training / inference on CoreWeave, Together AI, Lambda Labs, etc? You don’t need to stay locked into one big cloud to get performance.
Run the benchmarks👇
Running training / inference on CoreWeave, Together AI, Lambda Labs, etc? You don’t need to stay locked into one big cloud to get performance.
Run the benchmarks👇
@pixeltablehq makes multimodal data feel like Postgres: declarative tables with raw data, embeddings, captions & model outputs, all queryable with SQL-like syntax.
Pair it with @tigrisdata and all your data is hot. No caching. Fast queries everywhere.
Native search & retrieval in 7 lines. Code 👇
Pair it with @tigrisdata and all your data is hot. No caching. Fast queries everywhere.
Native search & retrieval in 7 lines. Code 👇
December 18, 2025 at 5:36 PM
@pixeltablehq makes multimodal data feel like Postgres: declarative tables with raw data, embeddings, captions & model outputs, all queryable with SQL-like syntax.
Pair it with @tigrisdata and all your data is hot. No caching. Fast queries everywhere.
Native search & retrieval in 7 lines. Code 👇
Pair it with @tigrisdata and all your data is hot. No caching. Fast queries everywhere.
Native search & retrieval in 7 lines. Code 👇
We just open-sourced our MCP OIDC provider 🚀
If you’re building a hosted MCP server, auth shouldn’t be the hard part, especially with how quickly MCP changes.
This gives you a simple, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
If you’re building a hosted MCP server, auth shouldn’t be the hard part, especially with how quickly MCP changes.
This gives you a simple, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
December 16, 2025 at 5:24 PM
We just open-sourced our MCP OIDC provider 🚀
If you’re building a hosted MCP server, auth shouldn’t be the hard part, especially with how quickly MCP changes.
This gives you a simple, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
If you’re building a hosted MCP server, auth shouldn’t be the hard part, especially with how quickly MCP changes.
This gives you a simple, vendor-neutral OIDC layer that works with real MCP clients (Claude, Cursor, etc.) and any IdP.
Blog + code 👇
Tired of miles of boilerplate code for simple storage operations?
We got you.
The Tigris Storage SDK makes simple things simple: put, get, list, delete - because using storage in your app should not be hard.
Link in reply
We got you.
The Tigris Storage SDK makes simple things simple: put, get, list, delete - because using storage in your app should not be hard.
Link in reply
December 11, 2025 at 6:11 PM
Tired of miles of boilerplate code for simple storage operations?
We got you.
The Tigris Storage SDK makes simple things simple: put, get, list, delete - because using storage in your app should not be hard.
Link in reply
We got you.
The Tigris Storage SDK makes simple things simple: put, get, list, delete - because using storage in your app should not be hard.
Link in reply
Tired of public registry limits, egress fees, or compliance headaches?
You can now spin up a private Docker registry on @northflank backed by Tigris in 1 click. Type in your keys, deploy, done
Easy scaling, multi-region, zero hassle.
Full guide in the replies.
You can now spin up a private Docker registry on @northflank backed by Tigris in 1 click. Type in your keys, deploy, done
Easy scaling, multi-region, zero hassle.
Full guide in the replies.
December 9, 2025 at 5:54 PM
Tired of public registry limits, egress fees, or compliance headaches?
You can now spin up a private Docker registry on @northflank backed by Tigris in 1 click. Type in your keys, deploy, done
Easy scaling, multi-region, zero hassle.
Full guide in the replies.
You can now spin up a private Docker registry on @northflank backed by Tigris in 1 click. Type in your keys, deploy, done
Easy scaling, multi-region, zero hassle.
Full guide in the replies.
MCP servers need to authenticate clients so you can safely provide access to protected resources. The industry is settling around using OAuth to do this, but how do you set it up? Here's what we learned making our MCP server work and how you can get started with your own OAuth flow.
December 2, 2025 at 4:30 PM
MCP servers need to authenticate clients so you can safely provide access to protected resources. The industry is settling around using OAuth to do this, but how do you set it up? Here's what we learned making our MCP server work and how you can get started with your own OAuth flow.
Aaron Francis captured it perfectly on Database School: with Tigris, ‘the region is just Earth.’
No CDNs, no cross-region replication, no complex DR— Reliability is the default on Tigris.
Link to the full episode below 👇
No CDNs, no cross-region replication, no complex DR— Reliability is the default on Tigris.
Link to the full episode below 👇
November 20, 2025 at 8:40 PM
Aaron Francis captured it perfectly on Database School: with Tigris, ‘the region is just Earth.’
No CDNs, no cross-region replication, no complex DR— Reliability is the default on Tigris.
Link to the full episode below 👇
No CDNs, no cross-region replication, no complex DR— Reliability is the default on Tigris.
Link to the full episode below 👇
Our partner LanceDB spotted us at Kubecon! We've been building cool things with Lance:
💻 Train directly off object storage while using your full GPU with Lance look-ahead caching and Tigris' low latency storage
➡️ Store vector embeddings alongside your data with Tigris backing Lance
Links in reply
💻 Train directly off object storage while using your full GPU with Lance look-ahead caching and Tigris' low latency storage
➡️ Store vector embeddings alongside your data with Tigris backing Lance
Links in reply
November 12, 2025 at 9:09 PM
Our partner LanceDB spotted us at Kubecon! We've been building cool things with Lance:
💻 Train directly off object storage while using your full GPU with Lance look-ahead caching and Tigris' low latency storage
➡️ Store vector embeddings alongside your data with Tigris backing Lance
Links in reply
💻 Train directly off object storage while using your full GPU with Lance look-ahead caching and Tigris' low latency storage
➡️ Store vector embeddings alongside your data with Tigris backing Lance
Links in reply
We took a "snapshot" of our bucket here at Kubecon
Tigris has full bucket snapshots with point in time recovery. No messing with per-object versions.
We'll keep all your objects safe with 11 9's of durability... even those raffle tickets.
Tigris has full bucket snapshots with point in time recovery. No messing with per-object versions.
We'll keep all your objects safe with 11 9's of durability... even those raffle tickets.
November 11, 2025 at 6:53 PM
We took a "snapshot" of our bucket here at Kubecon
Tigris has full bucket snapshots with point in time recovery. No messing with per-object versions.
We'll keep all your objects safe with 11 9's of durability... even those raffle tickets.
Tigris has full bucket snapshots with point in time recovery. No messing with per-object versions.
We'll keep all your objects safe with 11 9's of durability... even those raffle tickets.
Classical clouds are obsolete.
The future belongs to specialized clouds built for AI and high-performance workloads — but they still need reliable, S3-grade storage.
That’s where Tigris comes in.
📷 Great chat between @ovaistariq.net and Martin Casado on the a16z podcast, link in reply
The future belongs to specialized clouds built for AI and high-performance workloads — but they still need reliable, S3-grade storage.
That’s where Tigris comes in.
📷 Great chat between @ovaistariq.net and Martin Casado on the a16z podcast, link in reply
November 11, 2025 at 2:39 PM
Classical clouds are obsolete.
The future belongs to specialized clouds built for AI and high-performance workloads — but they still need reliable, S3-grade storage.
That’s where Tigris comes in.
📷 Great chat between @ovaistariq.net and Martin Casado on the a16z podcast, link in reply
The future belongs to specialized clouds built for AI and high-performance workloads — but they still need reliable, S3-grade storage.
That’s where Tigris comes in.
📷 Great chat between @ovaistariq.net and Martin Casado on the a16z podcast, link in reply
Thanks to Martin Casado for having @ovaistariq.net on the a16z podcast to talk about the future of infrastructure for AI, and how Tigris is building the storage layer for AI workloads— from the metal up.
Learn why AI companies keep choosing Tigris for their storage!
🔗 in reply
Learn why AI companies keep choosing Tigris for their storage!
🔗 in reply
November 7, 2025 at 5:25 PM
Thanks to Martin Casado for having @ovaistariq.net on the a16z podcast to talk about the future of infrastructure for AI, and how Tigris is building the storage layer for AI workloads— from the metal up.
Learn why AI companies keep choosing Tigris for their storage!
🔗 in reply
Learn why AI companies keep choosing Tigris for their storage!
🔗 in reply
Big thanks to Aaron Francis for having Tigris CEO @ovaistariq.net on Database School!
As Aaron said, “It’s a bold undertaking to go against S3.”
We couldn’t agree more — and we’re here for the challenge.
🎧 Catch the full episode to see how Tigris is tackling vendor lock-in!
🔗 Link in reply
As Aaron said, “It’s a bold undertaking to go against S3.”
We couldn’t agree more — and we’re here for the challenge.
🎧 Catch the full episode to see how Tigris is tackling vendor lock-in!
🔗 Link in reply
November 6, 2025 at 5:03 PM
Big thanks to Aaron Francis for having Tigris CEO @ovaistariq.net on Database School!
As Aaron said, “It’s a bold undertaking to go against S3.”
We couldn’t agree more — and we’re here for the challenge.
🎧 Catch the full episode to see how Tigris is tackling vendor lock-in!
🔗 Link in reply
As Aaron said, “It’s a bold undertaking to go against S3.”
We couldn’t agree more — and we’re here for the challenge.
🎧 Catch the full episode to see how Tigris is tackling vendor lock-in!
🔗 Link in reply
Tigris Data is proud to sponsor #RaySummit, where the next generation of AI is being built! Come meet the Tigris team and let’s talk object storage for agents, pipelines, and experimentation— the storage layer that scales with you!
📍 Marquis Marriott in SF today & tomorrow!
📍 Marquis Marriott in SF today & tomorrow!
November 4, 2025 at 8:06 PM
Tigris Data is proud to sponsor #RaySummit, where the next generation of AI is being built! Come meet the Tigris team and let’s talk object storage for agents, pipelines, and experimentation— the storage layer that scales with you!
📍 Marquis Marriott in SF today & tomorrow!
📍 Marquis Marriott in SF today & tomorrow!
Check out the write up @thenewstack.io did on how Tigris Data's bucket forking allows you to fork data as easily as code without copies, delays or extra costs.
Read the article on The New Stack now!
🔗 Link in reply
Read the article on The New Stack now!
🔗 Link in reply
November 3, 2025 at 7:21 PM
Check out the write up @thenewstack.io did on how Tigris Data's bucket forking allows you to fork data as easily as code without copies, delays or extra costs.
Read the article on The New Stack now!
🔗 Link in reply
Read the article on The New Stack now!
🔗 Link in reply
Experiment without risk.
Have a big production dataset? Don’t copy—fork it.
Make alternate timelines for each model or transformation with zero copying.
We tried cleaning, transforms, and inference—no impact on source.
🔗 Code on the blog, link in reply.
Have a big production dataset? Don’t copy—fork it.
Make alternate timelines for each model or transformation with zero copying.
We tried cleaning, transforms, and inference—no impact on source.
🔗 Code on the blog, link in reply.
October 30, 2025 at 4:06 PM
Experiment without risk.
Have a big production dataset? Don’t copy—fork it.
Make alternate timelines for each model or transformation with zero copying.
We tried cleaning, transforms, and inference—no impact on source.
🔗 Code on the blog, link in reply.
Have a big production dataset? Don’t copy—fork it.
Make alternate timelines for each model or transformation with zero copying.
We tried cleaning, transforms, and inference—no impact on source.
🔗 Code on the blog, link in reply.
“The log is the database; everything else is cache or materialized views.”
That idea inspired how we built Tigris– an object store where the append-only log is the system itself.
Let’s unpack what that means for the future of storage.
That idea inspired how we built Tigris– an object store where the append-only log is the system itself.
Let’s unpack what that means for the future of storage.
October 28, 2025 at 4:45 PM
“The log is the database; everything else is cache or materialized views.”
That idea inspired how we built Tigris– an object store where the append-only log is the system itself.
Let’s unpack what that means for the future of storage.
That idea inspired how we built Tigris– an object store where the append-only log is the system itself.
Let’s unpack what that means for the future of storage.