serratus VS tidb

The Laboratory for RNA-Based Lifeforms | University of Toronto | Full-Time | ONSITE

We're a research computational biology lab at the forefront of RNA virus and virus-like agent discovery. Our goal is to help prevent the next pandemic by building the technical infrastructure to assist global virology research and public-health responses.

Seeking a full-stack developer who is creative, passionate, and willing to learn. No biology experience neccesary, but are a plus. Key assets: Python/R, AWS/HPC, postgres, javascript. See full job posting: http://rrna.ca/id0002

See: Serratus (https://serratus.io)

Serratus (https://github.com/ababaian/serratus) is an OSS bioinformatics project created by a passionate group of volunteers. Short story is we're re-analyzing all of the world's DNA/RNA sequencing data to find new viruses that other people have missed. It works surprisingly well, but there's a ton left to do.

tidb has been around for a while, it is distributed, written in Go and Rust, and MySQL compatible. https://github.com/pingcap/tidb

Somewhat relatedly, StarRocks is also MySQL compatible, written in Java and C++, but it's tackling OLAP use-cases. https://github.com/StarRocks/starrocks

It's MySQL-Compatible database for scale and real-time analytics https://github.com/pingcap/tidb

PingCAP | https://www.pingcap.com | Database Engineer, Product Manager, Developer Advocate and more | Remote in California | Full-time

We work on a MySQL compatible distributed database called TiDB https://github.com/pingcap/tidb/ and key-value store called TiKV.

TiDB is written in Go and TiKV is written in Rust.

More roles and locations are available on https://www.pingcap.com/careers/

Pesquise por CockroachDB ou TiDB

OLTP usually comes with high throughput of transactions, which means usually write(e.g., IUD - insert, update, delete) to read (e.g., select) ratio is above 4 or 5 or even higher. There are some good benchmarks to test OLTP workload like TPC-C (https://www.tpc.org/tpcc/), and some benchmarks to test OLAP workload like TPC-H (https://www.tpc.org/tpch/). For mixed or hybrid OLTP and OLAP (it's called HTAP, see this blog for some background https://en.pingcap.com/blog/the-beauty-of-htap-tidb-and-allo...), TPC-H was originally designed for this, however, it actually doesn't reveal the real world workload with several drawbacks. A newer research work from UC Berkeley proposed a HTAP benchmark called TAOBench (https://www.vldb.org/pvldb/vol15/p1965-cheng.pdf) which is pretty interesting and worthy to check.

For the HTAP systems, as mentioned in the above blog, there are quite a few industrial products, like Google just announced AlloyDB (https://cloud.google.com/alloydb), Snowflake's UniStore (https://www.snowflake.com/workloads/unistore/), and one of the most popular open source projects TiDB (https://github.com/pingcap/tidb) which have been deployed by many business applications.

Hopefully these may help a little bit :-)