Identity resolution without the nightly batch

SingleStore Helios Achieves PCI DSS v4.0.1 Compliance

SingleStore Helios and Helios BYOC are now PCI DSS v4.0.1 compliant, assessed by independent QSA ControlCase. What it covers and what stays with you.

Iceberg Needs an Open Catalog, Not a Walled Garden

Apache Iceberg helps reduce data lock-in with open table formats, but proprietary catalogs can limit openness, interoperability and architectural choice.

Scaling Database Availability Without Disruptio

Công nghệ SingleStore Online AZ Migration cho phép di chuyển khối lượng công việc giữa chế độ single-AZ và multi-AZ mà không gây gián đoạn dịch vụ.

Lập trình viên cần đọc bài này để hiểu cách triển khai migration database không gián đoạn—thông qua công nghệ SingleStore Online AZ Migration—để tối ưu hóa khả năng chịu lỗi, tăng tốc độ phát triển ứng dụng và giảm rủi ro downtime trong các dự án quy mô lớn.

Why ad platforms run six databases to answer one question

Ad platforms accumulate six or more databases not by design but through incremental decisions: a key-value store for auction lookups, a columnar store for real-time aggregates, a search index for audience filtering, caches, and eventually a vector store. Each addition is locally rational but collectively creates a lambda-style architecture with duplicate data, pipeline latency of 40+ minutes, reconciliation overhead, and fragmented ownership. The core problem is that warehouses and lakehouses handle batch OLAP well but cannot serve the low-latency, high-concurrency HTAP workloads ad platforms require. HTAP engines that store data in both row and columnar formats can ingest streams and make them immediately queryable, eliminating the need for most secondary systems. The recommended approach is incremental migration starting with the highest-friction workloads, while keeping the warehouse for historical archives and model training.

Open Intelligence, Open Data: SingleStore delivers Zero-copy Compute on Apache Iceberg

SingleStore is announcing its third-generation cluster architecture built on a Zero-Copy data fabric with native Apache Iceberg support. The new Gen3 clusters allow compute to attach directly to any database without copying or duplicating data, enabling HTAP workloads — transactional, analytical, vector search, and AI inference — to run against open data in place. Key features include Smart Read Replicas for isolated scaling, Database Branching for zero-copy dev/test environments, and Smart DR for cross-region disaster recovery without idle infrastructure costs. Existing customers are automatically upgraded with no migration required. The pitch is that organizations can build agentic AI applications directly on open Iceberg data without moving it into proprietary silos.

Cloud Database Security Engineering and SDLC

SingleStore outlines how it embeds security into every stage of its Software Development Lifecycle (SDLC), modeled after OWASP SAMM principles. The approach covers six practices: domain-specific security training, per-feature threat modeling, security requirements in design, architecture reviews, security-focused code review, and automated testing in CI/CD pipelines. Automated tooling includes SAST, SCA, DAST, container image scanning, secrets scanning, IaC scanning, and CNAPP via Prisma Cloud. External validation comes through annual third-party penetration testing, a public responsible disclosure program, and NIST SP 800-61-aligned incident response tested annually. The post also provides a checklist of questions enterprise buyers can use to evaluate a vendor's security engineering maturity beyond point-in-time certifications.