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
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.
The keynotes are packed, the coffee is hot, and the Tigris Data team is ready and rockin' at Booth B5 at #PyTorchCon in SF!
Come meet the team today & tomorrow and learn all about our new, first-of-its-kind feature, bucket forking! Fork data like you fork code!
#AI #ML #PyTorch
Come meet the team today & tomorrow and learn all about our new, first-of-its-kind feature, bucket forking! Fork data like you fork code!
#AI #ML #PyTorch
October 22, 2025 at 9:11 PM
The keynotes are packed, the coffee is hot, and the Tigris Data team is ready and rockin' at Booth B5 at #PyTorchCon in SF!
Come meet the team today & tomorrow and learn all about our new, first-of-its-kind feature, bucket forking! Fork data like you fork code!
#AI #ML #PyTorch
Come meet the team today & tomorrow and learn all about our new, first-of-its-kind feature, bucket forking! Fork data like you fork code!
#AI #ML #PyTorch
Have a massive production dataset you want to play with? You don't need to wait for a full copy.
Just fork your source bucket, experiment freely, throw it away, and spin up a new one— instantly.
3/10
Just fork your source bucket, experiment freely, throw it away, and spin up a new one— instantly.
3/10
October 21, 2025 at 4:03 PM
Have a massive production dataset you want to play with? You don't need to wait for a full copy.
Just fork your source bucket, experiment freely, throw it away, and spin up a new one— instantly.
3/10
Just fork your source bucket, experiment freely, throw it away, and spin up a new one— instantly.
3/10
We built `git fork` for your data.
Instant, copy-on-write clones of your datasets.
ZFS + Git = Tigris Storage
Thread: 1/10
Instant, copy-on-write clones of your datasets.
ZFS + Git = Tigris Storage
Thread: 1/10
October 21, 2025 at 4:03 PM
We built `git fork` for your data.
Instant, copy-on-write clones of your datasets.
ZFS + Git = Tigris Storage
Thread: 1/10
Instant, copy-on-write clones of your datasets.
ZFS + Git = Tigris Storage
Thread: 1/10
Come visit Tigris at Booth B5 at #PyTorchCon! Next Tues/Weds, Oct 22-23 in Downtown San Francisco! Tigris + PyTorch opens a world of opportunities like streaming massive datasets during training bit.ly/3Jh5JBa Come see what else is new in #OpenSource #AI & #ML and join the conversation!
October 17, 2025 at 4:15 PM
Come visit Tigris at Booth B5 at #PyTorchCon! Next Tues/Weds, Oct 22-23 in Downtown San Francisco! Tigris + PyTorch opens a world of opportunities like streaming massive datasets during training bit.ly/3Jh5JBa Come see what else is new in #OpenSource #AI & #ML and join the conversation!
Training data? In your object storage? It's more likely than you think thanks to Tigris!
Read more on the blog: www.tigrisdata.com/blog/pytorch...
Read more on the blog: www.tigrisdata.com/blog/pytorch...
October 16, 2025 at 3:08 PM
Training data? In your object storage? It's more likely than you think thanks to Tigris!
Read more on the blog: www.tigrisdata.com/blog/pytorch...
Read more on the blog: www.tigrisdata.com/blog/pytorch...
Come meet Tigris at #PyTorchCon, Oct 22-23 in SF 😎 This is THE event to gain early access to the latest #OpenSource AI tools & contribute to pivotal discussions that will shape the future of #AI projects. Check out the schedule: bit.ly/4cjkIE6. Register NOW: bit.ly/3R2uXUy.
October 15, 2025 at 4:15 PM
Come meet Tigris at #PyTorchCon, Oct 22-23 in SF 😎 This is THE event to gain early access to the latest #OpenSource AI tools & contribute to pivotal discussions that will shape the future of #AI projects. Check out the schedule: bit.ly/4cjkIE6. Register NOW: bit.ly/3R2uXUy.
Will we see you at #PyTorchCon, Oct 22-23 in San Francisco?
Here are the five talks Tigris is most looking forward to, each one showcasing performance optimizations for AI workloads.
See all these and more, and come chat with Tigris about how we're building the storage layer for AI!
Here are the five talks Tigris is most looking forward to, each one showcasing performance optimizations for AI workloads.
See all these and more, and come chat with Tigris about how we're building the storage layer for AI!
October 14, 2025 at 5:57 PM
Will we see you at #PyTorchCon, Oct 22-23 in San Francisco?
Here are the five talks Tigris is most looking forward to, each one showcasing performance optimizations for AI workloads.
See all these and more, and come chat with Tigris about how we're building the storage layer for AI!
Here are the five talks Tigris is most looking forward to, each one showcasing performance optimizations for AI workloads.
See all these and more, and come chat with Tigris about how we're building the storage layer for AI!
Tigris Data is a Startup sponsor for #PyTorchCon, Oct 22-23 in San Francisco! The schedule is STACKED with engaging presentations & panel discussions as well as opportunities to network with the #PyTorch community. Explore the schedule: bit.ly/4cjkIE6. Register today! bit.ly/3xCZrWm
October 13, 2025 at 4:49 PM
Tigris Data is a Startup sponsor for #PyTorchCon, Oct 22-23 in San Francisco! The schedule is STACKED with engaging presentations & panel discussions as well as opportunities to network with the #PyTorch community. Explore the schedule: bit.ly/4cjkIE6. Register today! bit.ly/3xCZrWm
Big news! @tigrisdata.com raised $25M Series A led by Natalie Vais of Spark Capital w/ Martin Casado of a16z + Basis Set.
Tigris is a faster, freer, AI-native storage cloud– running on our own hardware.
Already powering fal.ai, krea.ai & Hedra.
Let’s build the open cloud for AI.
Read more on TC
Tigris is a faster, freer, AI-native storage cloud– running on our own hardware.
Already powering fal.ai, krea.ai & Hedra.
Let’s build the open cloud for AI.
Read more on TC
October 9, 2025 at 5:16 PM
Big news! @tigrisdata.com raised $25M Series A led by Natalie Vais of Spark Capital w/ Martin Casado of a16z + Basis Set.
Tigris is a faster, freer, AI-native storage cloud– running on our own hardware.
Already powering fal.ai, krea.ai & Hedra.
Let’s build the open cloud for AI.
Read more on TC
Tigris is a faster, freer, AI-native storage cloud– running on our own hardware.
Already powering fal.ai, krea.ai & Hedra.
Let’s build the open cloud for AI.
Read more on TC
We compared Flux Kontext, Nano Banana, and GPT-Image-1 for image gen. Result:
◆ Flux is the best for most use cases and also the fastest & cheapest.
◆ Nano Banana is very close behind.
◆ GPT-Image-1 is the best at detail.
Compare the models yourself 👉 www.image-models.dev
◆ Flux is the best for most use cases and also the fastest & cheapest.
◆ Nano Banana is very close behind.
◆ GPT-Image-1 is the best at detail.
Compare the models yourself 👉 www.image-models.dev
October 1, 2025 at 3:32 PM
We compared Flux Kontext, Nano Banana, and GPT-Image-1 for image gen. Result:
◆ Flux is the best for most use cases and also the fastest & cheapest.
◆ Nano Banana is very close behind.
◆ GPT-Image-1 is the best at detail.
Compare the models yourself 👉 www.image-models.dev
◆ Flux is the best for most use cases and also the fastest & cheapest.
◆ Nano Banana is very close behind.
◆ GPT-Image-1 is the best at detail.
Compare the models yourself 👉 www.image-models.dev
When we dreamed this SDK into existence, we wanted to make sure that your code is easy to read, easy to understand, and easy to work with. We took all of the most common uses of object storage and reduced them down to their smallest possible form so that you just focus on what really matters:
September 25, 2025 at 3:10 PM
When we dreamed this SDK into existence, we wanted to make sure that your code is easy to read, easy to understand, and easy to work with. We took all of the most common uses of object storage and reduced them down to their smallest possible form so that you just focus on what really matters:
What if using object storage was easy as calling "get", "put", "list", and "delete"? Imagine what could be if simple operations were just simple.
You don't have to imagine it anymore, today we're announcing the Tigris Storage SDK. More in the 🧵
You don't have to imagine it anymore, today we're announcing the Tigris Storage SDK. More in the 🧵
September 25, 2025 at 3:10 PM
What if using object storage was easy as calling "get", "put", "list", and "delete"? Imagine what could be if simple operations were just simple.
You don't have to imagine it anymore, today we're announcing the Tigris Storage SDK. More in the 🧵
You don't have to imagine it anymore, today we're announcing the Tigris Storage SDK. More in the 🧵
Check out our new changelog, a balance of feature announcements, blog posts, and API changes.
September 10, 2025 at 4:57 PM
Check out our new changelog, a balance of feature announcements, blog posts, and API changes.
We were shocked watching LogSeam query 10TB of logs in seconds.
How?
- Refactored to Parquet & compressed 100x
- Data moved close to compute w/ @TigrisData
- 100s of nodes spin up per query
👉 500M+ logs/sec, 1.5TB+/sec search
💸 40–80% lower cost
🔗 link to the blog in reply
How?
- Refactored to Parquet & compressed 100x
- Data moved close to compute w/ @TigrisData
- 100s of nodes spin up per query
👉 500M+ logs/sec, 1.5TB+/sec search
💸 40–80% lower cost
🔗 link to the blog in reply
September 4, 2025 at 5:40 PM
We were shocked watching LogSeam query 10TB of logs in seconds.
How?
- Refactored to Parquet & compressed 100x
- Data moved close to compute w/ @TigrisData
- 100s of nodes spin up per query
👉 500M+ logs/sec, 1.5TB+/sec search
💸 40–80% lower cost
🔗 link to the blog in reply
How?
- Refactored to Parquet & compressed 100x
- Data moved close to compute w/ @TigrisData
- 100s of nodes spin up per query
👉 500M+ logs/sec, 1.5TB+/sec search
💸 40–80% lower cost
🔗 link to the blog in reply
Did you miss us at DevOpsDays Halifax last week? Xe had a talk on globally distributed systems design and we have a copy of it on our blog! Here's a sneak peek:
September 3, 2025 at 6:49 PM
Did you miss us at DevOpsDays Halifax last week? Xe had a talk on globally distributed systems design and we have a copy of it on our blog! Here's a sneak peek: