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Apache Iceberg

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DuckLake 1.0 vs Iceberg: Catalog-as-Metadata Architecture Compared

DuckLake 1.0 vs Iceberg: Catalog-as-Metadata Architecture Compared

Posted by By MPRAUTO MPRAUTO September 28, 2026Posted inArchitectureNo Comments
DuckLake stores lakehouse metadata in a SQL database instead of manifest files. How it compares to Apache Iceberg catalogs, and when each one wins.
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Milvus 3.0 vs 2.6: Lake-Native Vector Search Upgrade Guide 2026

Milvus 3.0 vs 2.6: Lake-Native Vector Search Upgrade Guide 2026

Posted by By MPRAUTO MPRAUTO September 24, 2026Posted inTechNo Comments
Milvus 3.0 GA (Jul 29, 2026) vs 2.6: External Collections, Storage V3, SINDI sparse index, StructArray, online schema, and the rollback trap to avoid.
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ClickHouse 26.8 LTS vs 26.3: Pipelined SQL, Iceberg Writes and Upgrade Risk

ClickHouse 26.8 LTS vs 26.3: Pipelined SQL, Iceberg Writes and Upgrade Risk

Posted by By MPRAUTO MPRAUTO September 22, 2026Posted inTech1 Comment
ClickHouse 26.8 LTS adds the pipe operator, Iceberg writes to S3 Tables, Puffin deletion vectors and atomic POPULATE. What to test before you upgrade.
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Apache Iceberg v4 vs v3 in 2026: Root Manifests, Single-File Commits, and What to Decide Now

Apache Iceberg v4 vs v3 in 2026: Root Manifests, Single-File Commits, and What to Decide Now

Posted by By MPRAUTO MPRAUTO September 19, 2026Posted inTech2 Comments
Iceberg v4 is unreleased but partly ratified. What changed in 2026, how v4 differs from v3, and which tables to upgrade - with the dev-list evidence.
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Apache Iceberg v3 Explained: 7 Spec Features That Change Your Lakehouse Upgrade Plan (2026)

Apache Iceberg v3 Explained: 7 Spec Features That Change Your Lakehouse Upgrade Plan (2026)

Posted by By MPRAUTO MPRAUTO September 18, 2026Posted inTech1 Comment
Iceberg v3 adds deletion vectors, row lineage, VARIANT and geospatial types. What each feature changes, engine support, and how to sequence the upgrade.
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Apache Iceberg vs Paimon: Lakehouse Table Formats 2026

Apache Iceberg vs Paimon: Lakehouse Table Formats 2026

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopment1 Comment
Apache Iceberg vs Apache Paimon in 2026: streaming upserts, compaction, metadata design, catalog support, and a decision matrix for your lakehouse table format.
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Iceberg vs Delta vs Hudi for IIoT Lakehouse: An ADR

Iceberg vs Delta vs Hudi for IIoT Lakehouse: An ADR

Posted by By MPRAUTO MPRAUTO June 6, 2026Posted inArchitectureNo Comments
An architecture decision record comparing Apache Iceberg, Delta Lake, and Hudi for an IIoT lakehouse in 2026 — schema evolution, upserts, and time-series fit.
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Iceberg vs Delta vs Hudi for Lakehouses: 2026 ADR

Iceberg vs Delta vs Hudi for Lakehouses: 2026 ADR

Posted by By MPRAUTO MPRAUTO June 2, 2026Posted inKubernetes2 Comments
An ADR for picking your lakehouse format in 2026 — Iceberg, Delta, and Hudi compared on writes, streaming, time travel, and ecosystem.
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Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine

Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inTech2 Comments
Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine - updated October 2026 with verified facts, diagrams and FAQ.
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  • Retries, Backoff with Jitter, Circuit Breakers and Retry Budgets: Resilience Patterns (2026)
  • SOME/IP and Automotive Ethernet: Service-Oriented Architecture for the Software-Defined Vehicle (2026)
  • DNP3 Protocol Deep Dive: Link, Transport and Application Layers, Secure Authentication and SCADA Utilities (2026)
  • OAuth 2.1, PKCE, OIDC and JWT Validation Pitfalls: A Token Security Guide (2026)
  • Interchange Fees and Least-Cost Routing: Card Payment Cost Architecture (2026)
  • Payment Retries and Dunning: Smart Retry Architecture for Recovering Failed Card Payments (2026)
  • Browser Agents Architecture: DOM, Accessibility Tree vs Vision, and Playwright MCP (2026)
  • Mechanistic Interpretability: Sparse Autoencoders, Features and Circuits in LLMs (2026)
  • Distributed Training Parallelism: Data, Tensor, Pipeline, FSDP/ZeRO and NCCL Collectives (2026)
  • Probabilistic Data Structures: Bloom Filters, HyperLogLog, Count-Min Sketch and Cuckoo Filters (2026)
  • Load Balancing Algorithms: Power of Two Choices, Maglev and L4 vs L7 (2026)
  • MVCC and Transaction Isolation Levels: Snapshot Isolation, Write Skew and SSI (2026)
  • ISA-100.11a vs WirelessHART: Wireless Industrial Networks Compared
  • Iceberg Catalogs: Polaris vs Nessie vs Unity Comparison (2026)
  • IO-Link Wireless: Industrial Sensor Network Architecture
  • Model Context Protocol (MCP) Explained: How It Works (2026)
  • Idempotent API Design: The Complete Engineering Guide
  • Agentic Digital Twins: AI-Driven Twins in 2026
  • OpenPLC v3 + Modbus TCP: Open-Source PLC Architecture
  • LLMs on Jetson Orin Benchmarked (2026): tok/s & VRAM
  • Claude Skills Architecture: Dynamic Capability Injection for LLM Agents
  • PROFIBUS Protocol: The Complete Technical Guide to Process and Factory Fieldbus
  • Database Sharding Strategies: Consistent Hashing, Rendezvous Hashing and Online Resharding (2026)
  • TLS 1.3 for Constrained IoT Devices: Handshake, 0-RTT, mTLS and Performance Costs (2026)
  • Hybrid Logical Clocks vs Vector Clocks: Event Ordering for Distributed IoT and Edge (2026)
  • Card Issuing Architecture: Processors, BIN Sponsors, JIT Funding and Authorization Flow (2026)
  • Core Banking Modernization: Strangler Fig, Event-Driven Cores and Migration Risk (2026)
  • Spot GPU Training: Checkpointing, Preemption Handling and Fault-Tolerant LLM Jobs (2026)
  • RAG Latency Budget: Optimizing Retrieval, Reranking and Streaming for Production (2026)
  • SBOM and VEX: CycloneDX vs SPDX for Software Supply Chain Vulnerability Triage (2026)
  • Kafka Exactly-Once Semantics: Idempotent Producers, Transactions and Their Limits (2026)
  • Raft vs Paxos: Leader Election, Log Replication and Consensus Failure Modes (2026)
  • LSM-Trees and RocksDB: Compaction, Write Amplification and Tuning (2026)
  • Saga Pattern: Orchestration vs Choreography and Compensating Transactions (2026)
  • Neural Operators (FNO, DeepONet) vs PINNs for Engineering Surrogate Models (2026)
  • Digital Twin Maturity Model: Fidelity Levels, ROI and a Practical Framework (2026)
  • Software-Defined Vehicle: AUTOSAR Classic vs Adaptive Architecture (2026)
  • Battery Management System (BMS) Architecture: SoC, SoH Estimation and Digital Twins (2026)
  • Project Haystack vs Brick Schema vs RealEstateCore for Building Digital Twins (2026)

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