lukekim

6 ms·

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Show HN: Spice 2.0 – Real-Time Analytical Query on Operational Data, Without ETL(spice.ai)
4 points by lukekim 2mo ago|0 comments
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by lukekim 7mo ago
Like other tech disrupted crafts before this, think furniture making or farming, that's how it goes. From hand-made craft, to mass production factories (last couple of decades) to fully automated production. The craft was dying long be
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by lukekim 9mo ago
Periodic objectives x customer results then GPT-5 scoring pull requests, etc. against them roughly aligned to that period. I.e. it scores higher if code is used by and produces value for customers.
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by lukekim 9mo ago
CedarDB is a super cool project, we're fans! CedarDB focuses on being a high-performance HTAP database whereas Spice's was built from day 1 to enable high-peformance data and search for data-intensive applications and AI. So Spice
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by lukekim 9mo ago
Like most things, all measures fail point in time and on short time horizons, but law of big numbers and trends can be useful. I.e. compare yourself (on almost any measure) to yourself in your most productive period. We reviewed our metrics
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Show HN: Spice Cayenne – SQL acceleration built on Vortex(spice.ai)
42 points by lukekim 9mo ago|4 comments
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by lukekim 2y ago
Hi HN, we’re Luke and Philip, founders of Spice AI. Today, we’re announcing Spice.ai OSS 1.0-Stable, a portable, single-node data query and LLM-inference engine built in Rust. We introduced the very first POC of Spice.ai OSS on ShowHN in Se
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by lukekim 2y ago
You also have to run it as admin. If you don't, it tries to auto-update every day and when it can't presents a big, obnoxious red banner. [1] https://x.com/WarpSpeedDan/status/1811447481047097788
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by lukekim 2y ago
The Model Context server is similar to what we've built at Spice, but we've focused on databases and data systems. Overall, standards are good. Perhaps we can implement MCP as a data connector and tool. [1] https://gith
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by lukekim 2y ago
We chose Apache 2.0 for the Spice OSS runtime. TL;DR: Data-plane Apache 2.0, control-plane BSL. Being such a core component, we want developers to be completely comfortable integrating and deploying the Spice runtime in their applications a
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by lukekim 2y ago
Spice AI | SWE & DevRel | FT | ONSITE (Seattle, Seoul), REMOTE (Australia) Spice AI is the creator of the Spice.ai open-source project, a query-engine and ML inferencing runtime built in Rust on DataFusion. Hiring experienced Rust, dist
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by lukekim 2y ago
Also anecdotal, but we (Spice AI) see more requests for Iceberg, but in practice more deployments of Delta Lake.
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by lukekim 2y ago
Thanks! Feedback and GitHub issues welcome!
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by lukekim 2y ago
Yes, it's on the backlog and we'll prioritize as we see demand as with https://github.com/spiceai/spiceai/issues/999 .
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by lukekim 2y ago
You're right, and that might be a good choice if you wanted to deploy and operate an additional PostgreSQL server locally. ## Using DuckDB: app -> duckdb -> network -> remote postgres (data) | local postgres (mater
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by lukekim 2y ago
Thank you! Much appreciated.
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by lukekim 2y ago
DuckDB is awesome. As an OLAP columnar-store database it excels at certain operations, like aggregations. If your use-case is row-based lookups where an OLTP database would perform better, you now get a choice of engine, while still having
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by lukekim 2y ago
Spice supports what DataFusion supports, which is generally yes but there is still work to do to push down more queries to TableProviders. For example, joins within a single source are not yet pushed down to the underlying provider. You can
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by lukekim 2y ago
Thank you! Yes, in terms of federated queries, there are similarities, but Spice is designed to be much smaller, faster, and lightweight (single-binary, 140MB) so you can run it next to your application as a sidecar, or eventually even in t
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by lukekim 2y ago
We also have a Grafana plugin we'll continue to improve to make it super easy to connect to Grafana, and Spice has a metrics endpoint and example Grafana dashboard for monitoring itself https://github.com/spiceai/s
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by lukekim 2y ago
Dremio is awesome. We've followed the Dremio journey from one of Jacques' original talks a couple of years back. Dremio's idea of caching tiers and reflections is powerful for performance. Spice takes it further and provides
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by lukekim 2y ago
Actually, we posted the original vision in Sep 2021 at https://blog.spiceai.org/posts/2021/09/07/introducing-spice.... for AI-driven applications and discussed needing a good source of data at https:&#x
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by lukekim 2y ago
Yes, we're huge fans of DuckDB, Mark, Hannes and the team. What we've found is sometimes you want to materialize data in an OTLP DB, so what Spice gives you is the choice to store some datasets in DuckDB and some in something like
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by lukekim 2y ago
Thank you!
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Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source(github.com)
177 points by lukekim 2y ago|49 comments
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Show HN: Spice.ai – Building blocks for data and time-series AI applications(blog.spice.ai)
15 points by lukekim 3y ago|0 comments
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by lukekim 4y ago
Thank you!
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Spice.xyz – Data and AI infrastructure for Web3(blog.spice.ai)
10 points by lukekim 4y ago|2 comments
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by lukekim 5y ago
You can also do this manually with quicktype.io. We've found it useful from the number of languages it supports.
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by lukekim 5y ago
Thank you! Yes, that's what we are currently doing, however the long term direction is to move as much of the codebase to Go/Rust as possible to be portable across hosting environments as possible.

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