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

The popularity of large-scale real-time analytics applications (real-time inventory/pricing,
recommendations from mobile apps, fraud detection, risk analysis, IoT, etc.) keeps rising …

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

In recent years, at ByteDance, we see more and more business scenarios that require
performing complex analysis over freshly imported data, together with transaction support …

The ongoing and increasing interest in HTAP (Hybrid Transactional and Analytical
Processing) systems documents the intense interest from data owners in simultaneously …

MVCC-based snapshot isolation promises that read queries can proceed without interfering
with concurrent writes. However, as we show experimentally, in existing implementations a …

Arguably data is the new natural resource in the enterprise world with an unprecedented
degree of proliferation. But to derive real-time actionable insights from the data, it is …

The rising demands of real-time analytics have emphasized the need for Hybrid
Transactional and Analytical Processing (HTAP) systems, which can handle both fast …

Hybrid Transactional and Analytical Processing (HTAP) systems have recently gained
popularity as they combine OLAP and OLTP processing to reduce administrative and …

Hybrid Transactional and Analytical Processing databases (HTAP, OLxP) are an emerging
sector of databases combining Online Transactional Processing and Online Analytical …