Query TBs per second using standard SQL.
Pay only for what you use at $150 per PB scanned.
Leverage Sneller’s handwritten SIMD/AVX-512 assembly.
Scale to petabyte-size tables on S3 object storage with ease.
Keep your data in your own S3 buckets with no need for indexing.
Low latency (~3 sec) direct ingest from S3 at zero cost.
Ingest any JSON, CSV, TSV, and more without defining schemas or ETL-ing your data.
Never lose data due to full separation of storage and compute.
True multi-tenant SaaS with no need to manage infrastructure.
Simple REST API for all your SQL queries.
Robust support for SQL with many useful extensions.
Nagivate nested structures just as easily as in Javascript.
The Sneller development team regularly posts in-depth information about the product and its internals.
Integer division is an arithmetic operation that is not provided natively by SIMD instruction set extensions. In this article we provide a vectorized solution to successfully divide signed 64-bit integers by taking advantage of AVX-512
Sneller relies on a custom vectorized compression algorithm to enable extreme decompression speeds.
Sneller uses 16 parallel data lanes for almost all tasks, including loading and decompressing data, all without the use of branches. We heavily rely on predicated instruction execution provided by the AVX-512 instruction set to achieve this. In this post, we will explain a simple example of converting a string to uppercase, which is frequently used in our string processing functions.
We present our SQL fuzzy string compare and contains functionality that allows multi GiB/s processing without any need for preprocessing or indexing. Yes, that is right, fuzzy functionality yet no planning needed!
