<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Analytics on Pi Stack</title><link>https://www.pistack.xyz/tags/analytics/</link><description>Recent content in Analytics on Pi Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.pistack.xyz/tags/analytics/index.xml" rel="self" type="application/rss+xml"/><item><title>RudderStack vs Jitsu vs Snowplow: Best Self-Hosted CDP 2026</title><link>https://www.pistack.xyz/posts/2026-04-19-rudderstack-vs-jitsu-vs-snowplow-self-hosted-cdp-guide-2026/</link><pubDate>Sun, 19 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-19-rudderstack-vs-jitsu-vs-snowplow-self-hosted-cdp-guide-2026/</guid><description>&lt;p>Customer data platforms (CDPs) sit at the center of your data infrastructure. They collect events from your websites, apps, and servers, then route that data to warehouses, analytics tools, and marketing platforms. For years, Segment was the default choice — until its acquisition by Twilio, rising costs, and data residency concerns pushed teams toward open-source alternatives.&lt;/p></description></item><item><title>Trino vs Presto vs StarRocks: Best Distributed SQL Query Engine 2026</title><link>https://www.pistack.xyz/posts/2026-04-19-trino-vs-presto-vs-starrocks-distributed-sql-query-engines-guide-2026/</link><pubDate>Sun, 19 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-19-trino-vs-presto-vs-starrocks-distributed-sql-query-engines-guide-2026/</guid><description>&lt;h2 id="why-self-host-a-distributed-sql-query-engine">Why Self-Host a Distributed SQL Query Engine?&lt;/h2>
&lt;p>Modern data teams run analytics across diverse storage systems — S3 buckets, Parquet files on HDFS, MySQL replicas, Elasticsearch clusters, and Kafka streams. Moving all this data into a single warehouse is expensive, slow, and creates stale copies. Distributed SQL query engines solve this by querying data where it lives, using standard SQL, without ETL pipelines or data duplication.&lt;/p></description></item><item><title>Best Self-Hosted Developer Analytics &amp; Engineering Metrics Platforms 2026</title><link>https://www.pistack.xyz/posts/self-hosted-developer-analytics-engineering-metrics-dora-2026/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/self-hosted-developer-analytics-engineering-metrics-dora-2026/</guid><description>&lt;p>Engineering teams are increasingly data-driven. DORA metrics, pull request velocity, code review turnaround times, and deployment frequency have become the standard language for measuring software delivery performance. But handing your repository metadata, commit patterns, and team activity data to a SaaS analytics provider introduces real risks: privacy concerns, vendor lock-in, and data retention policies you don&amp;rsquo;t control.&lt;/p></description></item><item><title>ClickHouse vs Apache Druid vs Apache Pinot: Best Self-Hosted Analytics Database 2026</title><link>https://www.pistack.xyz/posts/clickhouse-vs-druid-vs-pinot-self-hosted-analytics-2026/</link><pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/clickhouse-vs-druid-vs-pinot-self-hosted-analytics-2026/</guid><description>&lt;p>Self-hosting your analytics infrastructure gives you full control over your data, eliminates vendor lock-in, and dramatically reduces costs at scale. When it comes to running real-time analytical queries on large datasets, three open-source databases stand out: &lt;strong>ClickHouse&lt;/strong>, &lt;strong>Apache Druid&lt;/strong>, and &lt;strong>Apache Pinot&lt;/strong>.&lt;/p></description></item><item><title>OpenReplay vs Highlight vs PostHog: Best Self-Hosted Session Replay 2026</title><link>https://www.pistack.xyz/posts/openreplay-vs-highlight-vs-posthog-self-hosted-session-replay-2026/</link><pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/openreplay-vs-highlight-vs-posthog-self-hosted-session-replay-2026/</guid><description>&lt;p>Session replay has become one of the most valuable debugging and product intelligence tools available to engineering teams. Instead of guessing why a user encountered an error or abandoned a checkout flow, you can watch exactly what they saw, where they clicked, and which requests failed — frame by frame. Commercial platforms like FullStory, Hotjar, LogRocket, and Smartlook dominate this space, but they come with significant trade-offs: every recorded session leaves your infrastructure, pricing scales steeply with traffic, and retention windows are tightly controlled by the vendor.&lt;/p></description></item><item><title>Self-Hosted BI Dashboards: Apache Superset vs Metabase vs Lightdash 2026</title><link>https://www.pistack.xyz/posts/self-hosted-bi-dashboard-superset-metabase-lightdash-guide-2026/</link><pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/self-hosted-bi-dashboard-superset-metabase-lightdash-guide-2026/</guid><description>&lt;p>If you run your own infrastructure, sending sensitive business data to a cloud BI platform is often a non-starter. Self-hosted business intelligence tools let you build dashboards, run ad-hoc queries, and share insights across your team — all while keeping your data on your own servers.&lt;/p></description></item><item><title>Plausible Analytics vs Umami: Best Open Source Google Analytics Alternative in 2026</title><link>https://www.pistack.xyz/posts/plausible-vs-umami/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/plausible-vs-umami/</guid><description>&lt;p>Looking for a &lt;strong>privacy-friendly Google Analytics alternative&lt;/strong> you can self-host in 2026? You&amp;rsquo;re not alone. Thousands of website owners are ditching GA4 for lightweight, cookie-free analytics tools that respect visitor privacy while still delivering actionable insights.&lt;/p></description></item></channel></rss>