Hybrid Transactional and Analytical Processing (HTAP) databases require processing
transactional and analytical queries in isolation to remove the interference between them. To …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Data-intensive applications fueled the evolution of log structured merge (LSM) based key-
value engines that employ the out-of-place paradigm to support high ingestion rates with low …

As modern applications generate data at an unprecedented speed and often require the
querying/analysis of data spanning a large duration, it is crucial to develop indexing …

Demand for enterprise data warehouse solutions to support real-time Online Transaction
Processing (OLTP) queries as well as long-running Online Analytical Processing (OLAP) …

Observability has been gaining importance as a key capability in today's large-scale
software systems and services. Motivated by current experience in industry exemplified by …

An exponential growth in data volume, combined with increasing demand for real-time
analysis (ie, using the most recent data), has resulted in the emergence of database systems …

The last decade has seen a remarkable rise in specialized database systems. Systems for
transaction processing, data warehousing, time series analysis, full-text search, data lakes …

Processing the mixed workloads of transactions and analytical queries in a single database
system can eliminate the ETL process and enable real-time data analysis on the transaction …

To support Hybrid Transaction and Analytical Processing (HTAP), database systems
generally rely on Multi-Version Concurrency Control (MVCC). While MVCC elegantly …