{"id":11781,"date":"2026-09-22T12:00:00","date_gmt":"2026-09-22T09:00:00","guid":{"rendered":"https:\/\/handoli.com\/index.php\/2026\/09\/22\/scaling-time-series-workloads-on-postgres\/"},"modified":"2026-09-22T12:00:00","modified_gmt":"2026-09-22T09:00:00","slug":"scaling-time-series-workloads-on-postgres","status":"publish","type":"post","link":"https:\/\/handoli.com\/index.php\/2026\/09\/22\/scaling-time-series-workloads-on-postgres\/","title":{"rendered":"Scaling Time-Series Workloads on Postgres"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Many real-world processes produce data as a continuous stream rather than as isolated records. Sensor readings, financial markets, and application telemetry all generate data this way. This kind of time-series data has a distinctive shape. It\u2019s written far more often than it is updated, it accumulates continuously, and it is usually queried across ranges of time. Time-series databases are built specifically for this kind of workload.<\/p>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tigerdata.com\/timescaledb\">TimescaleDB<\/a> is an open source database from <a href=\"https:\/\/www.tigerdata.com\/\">Tiger Data<\/a> that adds time-series capabilities to PostgreSQL. It\u2019s implemented as a Postgres extension, so it introduces new functionality while preserving standard Postgres behavior and SQL. This lets a single Postgres-based system handle both transactional and analytical workloads without splitting data across multiple tools.<\/p>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.linkedin.com\/in\/bpurcell\/\" data-type=\"link\" data-id=\"https:\/\/www.linkedin.com\/in\/bpurcell\/\">Brandon Purcell<\/a> is the Director of Product Management at Tiger Data. In this episode, Brandon joins Kevin Ball to discuss why time-series data breaks conventional databases, how hypertables and Hypercore scale Postgres, zero-copy database forking for agent-based workflows, and much more.<\/p>\n<p><em>Full Disclosure: This episode is sponsored by Tiger Data<\/em><\/p>\n<p>Sponsorship inquiries:<br \/><a href=\"mailto:sponsor@softwareengineeringdaily.com\">sponsor@softwareengineeringdaily.com<\/a><\/p>\n<p>The post <a href=\"https:\/\/softwareengineeringdaily.com\/podcasts\/scaling-time-series-workloads-on-postgres\/\">Scaling Time-Series Workloads on Postgres<\/a> appeared first on <a href=\"https:\/\/softwareengineeringdaily.com\/\">Software Engineering Daily<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Many real-world processes produce data as a continuous stream rather than as isolated records. Sensor readings, financial markets, and application telemetry all generate data this way. This kind of time-series data has a distinctive shape. It\u2019s written far more often than it is updated, it accumulates continuously, and it is usually queried across ranges of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[15],"tags":[],"class_list":["post-11781","post","type-post","status-publish","format-standard","hentry","category-world"],"_links":{"self":[{"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/posts\/11781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/comments?post=11781"}],"version-history":[{"count":0,"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/posts\/11781\/revisions"}],"wp:attachment":[{"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/media?parent=11781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/categories?post=11781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/handoli.com\/index.php\/wp-json\/wp\/v2\/tags?post=11781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}