{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T06:31:28Z","timestamp":1790749888392,"version":"4.1.0"},"reference-count":17,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:p>\n            The IBM Db2 Analytics Accelerator (IDAA) is a state-of-the art hybrid database system that seamlessly extends the strong transactional capabilities of\n            <jats:italic toggle=\"yes\">Db2 for z\/OS<\/jats:italic>\n            with the very fast column-store processing in\n            <jats:italic toggle=\"yes\">Db2 Warehouse.<\/jats:italic>\n            The Accelerator maintains a copy of the data from\n            <jats:italic toggle=\"yes\">Db2 for z\/OS<\/jats:italic>\n            in its backend database. Data can be synchronized at a single point in time with a granularity of a table, one or more of its partitions, or incrementally as rows changed using replication technology.\n          <\/jats:p>\n          <jats:p>\n            IBM Change Data Capture (CDC) has been employed as replication technology since IDAA version 3. Version 7.5.0 introduces a superior replication technology as a replacement for IDAA's use of CDC -\n            <jats:italic toggle=\"yes\">Integrated Synchronization.<\/jats:italic>\n            In this paper, we present how\n            <jats:italic toggle=\"yes\">Integrated Synchronization<\/jats:italic>\n            improves the performance by orders of magnitudes, paving the way for near real-time Hybrid Transactional and Analytical (HTAP) processing.\n          <\/jats:p>","DOI":"10.14778\/3415478.3415548","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T18:46:46Z","timestamp":1600109206000},"page":"3245-3257","source":"Crossref","is-referenced-by-count":14,"title":["Replication at the speed of change"],"prefix":"10.14778","volume":"13","author":[{"given":"Dennis","family":"Butterstein","sequence":"first","affiliation":[{"name":"IBM Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Martin","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Knut","family":"Stolze","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Beier","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Zhong","sequence":"additional","affiliation":[{"name":"IBM Silicon Valley Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingyun","family":"Wang","sequence":"additional","affiliation":[{"name":"IBM Silicon Valley Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687731"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989447"},{"key":"e_1_2_1_3_1","volume-title":"Business Analytics in (a) Blink","author":"Barber R.","year":"2012","unstructured":"R. Barber, P. Bendel, M. Czech, O. Draese, F. Ho, N. Hrle, S. Idreos, M. Kim, O. Koeth, and J. Lee. Business Analytics in (a) Blink. IEEE Data Engineering Bulletin, 2012."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/SECON.2005.1423297"},{"key":"e_1_2_1_5_1","volume-title":"5th Biennial Conference on Innovative Data Systems Research, CIDR","author":"Dittrich J.","year":"2011","unstructured":"J. Dittrich and A. Jindal. Towards a One Size Fits All Database Architecture. In Outrageous Ideas and Vision Track, 5th Biennial Conference on Innovative Data Systems Research, CIDR, 2011."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/782115.782117"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2094114.2094126"},{"key":"e_1_2_1_8_1","volume-title":"Bulletin of the IEEE Computer Society Technical Committee on Data Engineering","author":"Grund M.","year":"2012","unstructured":"M. Grund, P. Cudre-Mauroux, J. Kr\u00fcger, S. Madden, and H. Plattner. An overview of hyrise-a main memory hybrid storage engine. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2012."},{"issue":"2","key":"e_1_2_1_9_1","first-page":"105","volume":"4","author":"Grund M.","year":"2010","unstructured":"M. Grund, J. Kr\u00fcger, H. Plattner, A. Zeier, P. Cudre-Mauroux, and S. Madden. HYRISE: A Main Memory Hybrid Storage Engine. PVLDB, 4(2):105--116, Nov. 2010.","journal-title":"HYRISE: A Main Memory Hybrid Storage Engine. PVLDB"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137765.3137767"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035959"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/128765.128770"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559846"},{"key":"e_1_2_1_14_1","volume-title":"Constant-Time Query Processing. In IEEE 24th International Conference on Data Engineering (ICDE)","author":"Raman V.","year":"2008","unstructured":"V. Raman, G. Swart, L. Qiao, F. Reiss, V. Dialani, D. Kossmann, I. Narang, and R. Sidle. Constant-Time Query Processing. In IEEE 24th International Conference on Data Engineering (ICDE), 2008."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03422-0_5"},{"key":"e_1_2_1_16_1","first-page":"453","volume-title":"M\u00e4rz 2019 in Rostock","author":"Stolze K.","year":"2019","unstructured":"K. Stolze, F. Beier, and J. M\u00fcller. Partial Reload of Incrementally Updated Tables in Analytic Database Accelerators. Datenbanksysteme f\u00fcr Business, Technologie und Web (BTW) 2019 : Tagung vom 4. - 8. M\u00e4rz 2019 in Rostock, pages 453--463, March 2019."},{"key":"e_1_2_1_17_1","volume-title":"Architecture of a Highly Scalable Data Warehouse Appliance Integrated to Mainframe Database Systems. 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Database Systems for Business, Technology, and the Web (BTW), 2011."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3415478.3415548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T02:33:48Z","timestamp":1758076428000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3415478.3415548"}},"subtitle":["a fast, scalable replication solution for near real-time HTAP processing"],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":17,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["10.14778\/3415478.3415548"],"URL":"https:\/\/doi.org\/10.14778\/3415478.3415548","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}