ChistaDATA Archives | ChistaDATA Inc.

ClickHouse Real-Time POS Analytics: Sub-Second Decisioning for QSR Enterprises

If you’ve spent any time working in QSR (Quick Service Restaurant) data infrastructure, you already know the problem. The need for ClickHouse real-time POS analytics has never been more urgent — millions of POS transactions […]

multi-region ClickHouse deployment architecture showing distributed cluster replication : Sharding and Resharding Strategies

Designing Multi-Region ClickHouse Deployments for Global Scale: 3 Best Patterns

ChistaDATA Inc.

ClickHouse multi-region deployment is one of the most architecturally demanding problems in distributed analytics. When your users span three continents, a single-region cluster becomes a latency ceiling, a compliance liability, and a single point of […]

ClickHouse Disaster Recovery Drills: Frequency, Scope, and Reporting

ChistaDATA Inc.

ClickHouse disaster recovery drills are structured tests designed to validate your analytical database’s recovery procedures before a real failure occurs. Running regular ClickHouse disaster recovery drills is how engineering teams build confidence that their backup-restore […]

ClickHouse Observability Stack in 2026: Apache Iceberg and OpenTelemetry for Real-Time Telemetry

ChistaDATA Inc.

Over the past few years, our platform engineering team at ChistaDATA has been rethinking how we approach observability infrastructure at scale. The conversation keeps circling back to the same frustration: most organizations are sitting on […]

Vector Database Indexing: HNSW, IVF, PQ, OPQ, and ScaNN Explained

ChistaDATA Inc.

A practitioner’s guide to vector database indexing — HNSW, IVF, PQ, OPQ, and ScaNN. Tuning, trade-offs, and architecture patterns from MinervaDB engineers.

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Vector ClickHouse Pipeline: Observability Worth the Effort

ChistaDATA Inc.

Vector ClickHouse pipeline: a practical look at how it works, what to tune, and the pitfalls that trip up production ClickHouse.

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Time-Series Analytics at Scale with ClickHouse

ChistaDATA Inc.

Time-Series Analytics at Scale with ClickHouse Time-series data — metrics, logs, traces, IoT telemetry, financial ticks — is the dominant analytics workload in modern systems. ClickHouse has become the default engine for time-series analytics at […]

ClickHouse Query Optimization for Petabyte-Scale Analytics

ChistaDATA Inc.

ClickHouse Query Optimization for Petabyte-Scale Analytics Query optimization is where ClickHouse either sings or suffers. A well-designed query on a well-designed schema scans terabytes in milliseconds; a poorly designed query scans the same data in […]

eBPF | ClickHouse Performance | ChistaDATA

Advanced eBPF-Based Performance Analysis for ClickHouse

ChistaDATA Inc.

Advanced eBPF-Based Performance Analysis for ClickHouse: Kernel-Level Observability Techniques eBPF (Extended Berkeley Packet Filter) delivers comprehensive, zero-overhead kernel-space observability for ClickHouse performance analysis. Through dynamic instrumentation of kernel tracepoints, kprobes, uprobes, and hardware performance monitoring […]

ClickHouse Performance Detective’s Toolkit

ChistaDATA Inc.

ClickHouse Performance Detective’s Toolkit: CLI Strategies for Common ClickHouse Bottlenecks When your ClickHouse database starts showing signs of performance degradation, the command-line interface becomes your most powerful diagnostic tool. Unlike traditional databases that rely heavily […]

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from ChistaDATA Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

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