{"id":1358,"date":"2026-07-09T11:32:44","date_gmt":"2026-07-09T02:32:44","guid":{"rendered":"https:\/\/graphai.io\/?p=1358"},"modified":"2026-07-09T11:32:44","modified_gmt":"2026-07-09T02:32:44","slug":"kaist-professor-minsoo-kims-research-team-develops-chimera-an-integrated-db-system-with-up-to-280x-performance-improvement-2","status":"publish","type":"post","link":"https:\/\/graphai.io\/en\/news\/kaist-professor-minsoo-kims-research-team-develops-chimera-an-integrated-db-system-with-up-to-280x-performance-improvement-2\/","title":{"rendered":"KAIST Professor Minsoo Kim&#8217;s Research Team Develops &#8216;Chimera,&#8217; an Integrated DB System with Up to 280x Performance Improvement"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; 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animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;default&#8221; gradient_type=&#8221;default&#8221;][image_with_animation image_url=&#8221;793&#8243; image_size=&#8221;full&#8221; max_width=&#8221;100%&#8221; max_width_mobile=&#8221;default&#8221; animation_type=&#8221;entrance&#8221; animation=&#8221;None&#8221; animation_movement_type=&#8221;transform_y&#8221; hover_animation=&#8221;none&#8221; alignment=&#8221;&#8221; border_radius=&#8221;none&#8221; box_shadow=&#8221;none&#8221; image_loading=&#8221;default&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; text_align=&#8221;left&#8221; row_position=&#8221;default&#8221; row_position_tablet=&#8221;inherit&#8221; row_position_phone=&#8221;inherit&#8221; overflow=&#8221;visible&#8221; pointer_events=&#8221;all&#8221;][vc_column_inner column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; flex_gap_desktop=&#8221;10px&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; overflow=&#8221;visible&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][vc_column_text css=&#8221;&#8221; text_direction=&#8221;default&#8221; el_class=&#8221;article&#8221;]\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">GraphAI CEO and KAIST School of Computing Professor Minsoo Kim&#8217;s research team has developed &#8216;Chimera,&#8217; a new database system that fully integrates relational DB and graph DB to enable significantly more efficient execution of graph-relational queries. Chimera addresses the performance degradation and memory shortage issues of existing systems by introducing a newly designed &#8216;dual-store architecture&#8217; and &#8216;traverse-join operator&#8217; across both the storage layer and the query processing layer.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">As a result, Chimera recorded query processing performance that is at least 4x and up to 280x faster than existing systems on international performance benchmark standards, demonstrating world-class capabilities. This research is expected to find wide application across various industries \u2014 including AI agents, finance, and e-commerce \u2014 by enabling the efficient execution of graph DB&#8217;s strengths in analyzing complex interconnected information alongside traditional relational DB functions within a single framework.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">GraphAI engineer \ubc15\uc815\ud638 participated as the second author, contributing to the technical completeness of the research. The results were presented at &#8216;VLDB,&#8217; one of the world&#8217;s most prestigious international academic conferences in the database field.<\/p>\n<p>Read more : <a href=\"https:\/\/view.asiae.co.kr\/article\/2025090808190435902\" target=\"_blank\" rel=\"noopener\">https:\/\/view.asiae.co.kr\/article\/2025090808190435902<\/a>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; text_align=&#8221;left&#8221; row_position=&#8221;default&#8221; row_position_tablet=&#8221;inherit&#8221; row_position_phone=&#8221;inherit&#8221; overflow=&#8221;visible&#8221; pointer_events=&#8221;all&#8221;][vc_column_inner column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; top_margin=&#8221;20&#8243; 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