-[2017-Principles of Sharding for Relational Databases](https://parg.co/bjq): In this blog post, we’ll first look at key properties that impact a sharding project’s success.
-[2017-Architect's Guide to NoSQL](http://www.datastax.com/wp-content/uploads/resources/whitepaper/DataStax_WP_Architects_Guide_to_NoSQL.pdf): This guide was created to help answer all these questions and more. In the following pages, you'll learn exactly what NoSQL is, why it's needed, how it works, what it should be used for, and (just as importantly) when it shouldn't be used
*[2017-Architect's Guide to NoSQL](http://www.datastax.com/wp-content/uploads/resources/whitepaper/DataStax_WP_Architects_Guide_to_NoSQL.pdf): This guide was created to help answer all these questions and more. In the following pages, you'll learn exactly what NoSQL is, why it's needed, how it works, what it should be used for, and (just as importantly) when it shouldn't be used
-[2018-RDR](https://github.com/xueqiu/rdr): RDR(redis data reveal) is a tool to parse redis rdbfile. Comparing to redis-rdb-tools, RDR is implemented by golang, much faster (5GB rdbfile takes about 2mins on my PC).
*[2018-RDR](https://github.com/xueqiu/rdr): RDR(redis data reveal) is a tool to parse redis rdbfile. Comparing to redis-rdb-tools, RDR is implemented by golang, much faster (5GB rdbfile takes about 2mins on my PC).
-[Writing a Time Series Database from Scratch](https://fabxc.org/blog/2017-04-10-writing-a-tsdb/)
*[Writing a Time Series Database from Scratch](https://fabxc.org/blog/2017-04-10-writing-a-tsdb/)
-[2017-Time-series data: Why (and how) to use a relational database instead of NoSQL](https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c)
*[2017-Time-series data: Why (and how) to use a relational database instead of NoSQL](https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c)
# OpenSource: 开源实现
-[2013-InfluxDB #Project#](https://github.com/influxdata/influxdb): InfluxDB is an open source time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.
*[2013-InfluxDB #Project#](https://github.com/influxdata/influxdb): InfluxDB is an open source time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics.
-[2017-timescaledb #Project#](https://github.com/timescale/timescaledb/): An open-source time-series database optimized for fast ingest and complex queries. Engineered up from PostgreSQL, packaged as an extension.
*[2017-timescaledb #Project#](https://github.com/timescale/timescaledb/): An open-source time-series database optimized for fast ingest and complex queries. Engineered up from PostgreSQL, packaged as an extension.
*[2017-Principles of Sharding for Relational Databases](https://parg.co/bjq): In this blog post, we’ll first look at key properties that impact a sharding project’s success.
*[2017-The Rise of GPU Databases](https://parg.co/UZc): The recent but noticeable shift from CPUs to GPUs is mainly due to the unique benefits they bring to sectors like AdTech, finance, telco, retail, or security/IT . We examine where GPU databases shine.
