htap

TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try free: https://tidbcloud.com/free-trial

Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.

OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.

A cloud-native database based on PostgreSQL developed by Alibaba Cloud.

Hyperconverged cloud-edge native database

PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.

BaikalDB, A Distributed HTAP Database.

StoneDB is an open-source, MySQL HTAP and MySQL-native database for oltp, real-time analytics (https://stonedb.io)

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PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.

In-memory, columnar, arrow-based database.

a serverless db service based on TiDB on the cloud, implementing dynamically scale the compute and storage nodes based on business load changes.

In a nutshell, EinsteinDB is a persistent indexing scheme based off of LSH-KVX that exploits the distinct merits of hash index and B+-Tree index to support range scan and avoids long NVM writes for maintaining consistency; thus improving on LSH’s performance guarantees for skewed data and adopts ordered-write consistency to ensure crash consistency, while retaining the same storage and query overhead.

Benchmark suite to evaluate HTAP database engines

OLxPBench emphasizes that real-time queries, semantically consistent schema, and domain-specific workloads are essential in benchmarking, designing, and implementing HTAP systems.

HTAP Database For Transaction And Analysis Workload

Create a schema and load data into MariaDB HTAP.

Completed during winter quarter 2021, this project was to create a simplified HTAP (Hybrid Transactional and Analytical Processing) database, broken into three milestones and written in Python.