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        <title><![CDATA[ScopeDB Blog]]></title>
        <description><![CDATA[ScopeDB is a database that runs directly on top of any commodity object storage. It is designed explicitly for data workloads with massive writes, any-scale analysis, and flexible schema.]]></description>
        <link>https://www.scopedb.io/blog</link>
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        <pubDate>Tue, 24 Feb 2026 07:55:53 GMT</pubDate>
        <copyright><![CDATA[© 2024-2026 ScopeDB]]></copyright>
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            <title><![CDATA[Cloud Elasticity: Three ScopeDB Design Principles (Part 3)]]></title>
            <description><![CDATA[ScopeDB leverages cloud-native architecture to separate storage and compute, treating S3 as the primary storage layer and offering serverless resource groups to minimize TCO while maximizing performance.
]]></description>
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            <pubDate>Wed, 21 Jan 2026 00:00:00 GMT</pubDate>
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            <title><![CDATA[Schema On The Fly: Three ScopeDB Design Principles (Part 2)]]></title>
            <description><![CDATA[ScopeDB implements a real variant type system that supports both structured and semi-structured data. It provides a full-featured, flexible schema solution that allows users to reshape raw events into a semi-structured format during ingestion, query and index nested fields within the object column efficiently, and evolve the schema of existing tables online without downtime or data migration.
]]></description>
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            <pubDate>Wed, 01 Oct 2025 00:00:00 GMT</pubDate>
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            <title><![CDATA[Insight In No Time: Three ScopeDB Design Principles (Part 1)]]></title>
            <description><![CDATA[ScopeDB allows users to get insights in no time by eliminating the ETL process and enabling direct data analysis and exploration for multiple scenarios.
]]></description>
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            <pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
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            <title><![CDATA[Why Not SQL: The Origin of ScopeQL]]></title>
            <description><![CDATA[When developing the query language for ScopeDB, we decided to go against SQL and design a new language, ScopeQL, from scratch to fix SQL's problems. In this post, we will discuss where SQL falls short and the design principles behind ScopeQL.]]></description>
            <link>https://www.scopedb.io/blog/scopeql-origins</link>
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            <category><![CDATA[engineering]]></category>
            <pubDate>Mon, 10 Mar 2025 00:00:00 GMT</pubDate>
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            <title><![CDATA[Introducing ScopeDB: Manage Data in Petabytes for An Observability Platform]]></title>
            <description><![CDATA[Observability is the ability to measure the internal states of a system by examining its outputs. The three pillars of observability (metrics, logs, and traces) can be used to get insights into system behavior, identify and resolve performance issues to improve system efficiency, and provide responsiveness into complex systems on bottlenecks and failures.]]></description>
            <link>https://www.scopedb.io/blog/manage-observability-data-in-petabytes</link>
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            <pubDate>Tue, 21 Jan 2025 00:00:00 GMT</pubDate>
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