Serverless Vector Search
Sneller’s serverless vector search eliminates the need for capacity planning and expensive migrations.
1 Billion Records on Grafana
See how Sneller powers a Grafana dashboard with 1 billion records from the GitHub archive data.
Semantic Search with SQL
Learn how Sneller makes it easy to perform semantic search using SQL for AI-powered applications.
How Sneller Cloud Runs on Itself
Learn how we “eat our own dogfood” by using Sneller SQL to monitor Sneller Cloud.
64-bit Integer Division with AVX-512
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
Introducing Iguana: extremely fast SIMD-optimized decompression
Sneller relies on a custom vectorized compression algorithm to enable extreme decompression speeds.
Branchless Code With AVX-512
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.
Accelerating Fuzzy Search using AVX-512
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!
Sneller: Querying terabytes of JSON per second
Learn how Sneller is capable of querying terabytes of JSON per second on medium sized clusters.
Sneller Regex vs Ripgrep
We present a speed comparison between ripgrep and Sneller’s SQL regular expression engine. We conclude that Sneller is faster with large text files, thanks to its ability to leverage multi-threading and optimized hardware utilization, despite the performance penalty for decompressing data.