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    <title>GPT-6.1 Sol and the Enterprise Data Layer: Why Better AI Makes Data Infrastructure More Important</title>
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    <description>OpenAI’s GPT-6.1 Sol pushes frontier AI toward more capable, lower-cost agentic work. Here is what GPT-6.1 means for enterprise AI, retrieval, vector databases, RAG, data infrastructure, security, and the future of AI applications.</description>
    <dc:creator>Sainath Sapa</dc:creator>
    <category>AI Infrastructure</category>
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    <category>GPT-6.1</category>
    <category>GPT-6</category>
    <category>Enterprise AI</category>
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    <title>Building a Unified Data Layer for Modern Applications</title>
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    <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
    <description>How modern applications increasingly combine transactional, analytical, document, and event workloads — and why one storage contract answers them better than several systems.</description>
    <dc:creator>Sainath Sapa</dc:creator>
    <category>Architecture</category>
    <category>SQL</category>
    <category>Databases</category>
    <category>Architecture</category>
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    <title>From Relational Data to Multi-Model Infrastructure</title>
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    <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
    <description>Documents, vectors, graphs, blobs, and time series pressure relational systems in different ways. What is available in PLOMID today, what is in development, and what is roadmap.</description>
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    <title>Time-Series Data in Modern Data Systems</title>
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    <pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
    <description>Telemetry, metrics, and events behave differently from transactional rows. What time-ordered workloads need from storage — and what PLOMID provides today.</description>
    <dc:creator>Sainath Sapa</dc:creator>
    <category>Data Infrastructure</category>
    <category>Time Series</category>
    <category>SQL</category>
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    <title>Bringing SQL and JSON Workloads Together</title>
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    <pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
    <description>Applications keep structured records and flexible documents side by side. How PLOMID queries JSON beside rows in one statement, without a second system.</description>
    <dc:creator>Sainath Sapa</dc:creator>
    <category>Engineering</category>
    <category>SQL</category>
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    <category>Databases</category>
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    <title>Designing a Modern Storage Engine from the Ground Up</title>
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    <pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate>
    <description>Pages, blocks, packs, WAL, MVCC, and checksums: the physical organization underneath PLOMID, and why the layout is a contract every data model shares.</description>
    <dc:creator>Sainath Sapa</dc:creator>
    <category>Engineering</category>
    <category>Storage Engines</category>
    <category>Rust</category>
    <category>Transactions</category>
    <category>MVCC</category>
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    <title>SQL and the Foundation of PLOMID</title>
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    <pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate>
    <description>Why SQL remains the primary interface for structured data: transactions, indexes, and a predictable execution path — and how PLOMID builds on that foundation.</description>
    <dc:creator>Sainath Sapa</dc:creator>
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