[{"data":1,"prerenderedAt":1179},["ShallowReactive",2],{"project-30290225":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":29,"sentiment":30,"stance_mix":31,"scored_comments":36,"aspects":37,"strip":51,"post_text":53,"what":54,"said":113,"maker_in_thread":247,"shape":260,"grid":263,"attempts":1141,"same_week":1142,"maker_shows":42,"maker_hidden":1171,"reader_version":1172,"card":1173},"30290225","EdgeDB 1.0","EdgeDB employee here.","maker","Show HN: EdgeDB 1.0","https:\u002F\u002Fwww.edgedb.com\u002Fblog\u002Fedgedb-1-0","edgedb.com","colinmcd",1644516783,2022,947,323,11,2570,1,"legend","data","graph-relational database","library",[24,25,26,27,28],"graph database","postgres","query language","orm alternative","edgeql","curious",0.046,{"positive":32,"neutral":33,"mixed":34,"critical":35},50,159,8,31,248,{"performance":38,"execution":41,"docs":43,"idea":45,"design":47,"privacy":48,"pricing":50},{"positive":39,"critical":40},2,9,{"positive":39,"critical":42},3,{"positive":44,"critical":44},4,{"positive":46,"critical":16},18,{"positive":44,"critical":39},{"positive":49,"critical":49},0,{"positive":49,"critical":18},[42,52,49,39,39,39,44,44,44,18,44,44,42,42,42,52,42,42,42,42,44,39,42,44,44,39,42,44,39,39,52,44,39,42,42,44,42,42,42,44],5,null,{"problem":55,"audience":65,"pricing":77,"motivation":83,"time_to_build":53,"stack":91,"openness":110,"stage":111,"team_size":112},{"value":56,"source":7,"evidence":57},"Object-relational impedance mismatch and SQL complexity in application development",[58,62],{"id":59,"by":60,"text":61},"30291464","KwisaksHaderach","EdgeDB is built on an extension of the relational data model that we call the graph-relational model. This model completely eliminates the object-relational impedance mismatch…",{"id":63,"by":11,"text":64},"30292751","We're working on a more comprehensive explanation of why EdgeDB isn't an ORM. Does EdgeDB do \"object-relational mapping\" under the hood — absolutely. The reason we try to…",{"value":66,"source":67,"evidence":68},"Application developers who work with relational data","inferred",[69,73],{"id":70,"by":71,"text":72},"30292559","solarmist","Hell yeah. This is what I've wanted ever since I first learned about Apple's CoreData. This seems great. I have a highly interrelated data model (think parsed natural language…",{"id":74,"by":75,"text":76},"30293240","iddan","This is so exciting. We can definitely do better than SQL in 2022 and EdgeDB is a step in the right direction. Been using Prisma[0] in production in the past year and a half…",{"value":78,"source":7,"evidence":79},"Self-hostable open source; planned paid EdgeDB Cloud hosting",[80],{"id":81,"by":11,"text":82},"30293633","Everything is fully OSS: the database, our client libraries, our CLI. There's a company behind it (I'm an employee) which will make money with a cloud hosting platform, similar…",{"value":84,"source":85,"evidence":86},"Move past SQL's decades-old database API","commenter",[87],{"id":88,"by":89,"text":90},"30292318","thatwasunusual","> We should not continue wasting our productivity with a database API architecture from the last century. Sorry, but dissing proven technology like this just makes me vomit. Show…",[92,99,106],{"value":93,"source":7,"evidence":94},"Postgres",[95,96],{"id":63,"by":11,"text":64},{"id":97,"by":11,"text":98},"30310236","The goal is to never drop down to SQL. If there's something you can express in SQL but can't express in EdgeQL, it's a bug. We're working on proper query profiling now, but in…",{"value":100,"source":85,"evidence":101},"Python",[102],{"id":103,"by":104,"text":105},"30291600","say_it_as_it_is","I think this work is absolutely commendable, but at the end of the day it's a database written in Python with Rust extensions sprinkled here and there. Is 1.0 your MVP?",{"value":107,"source":85,"evidence":108},"Rust",[109],{"id":103,"by":104,"text":105},"open_source","launched","company",{"praise":114,"objections":141,"requests":173,"questions":190,"alternatives":220},[115,130],{"value":116,"source":85,"evidence":117},"Query language is cleaner and more readable than SQL",[118,122,126],{"id":119,"by":120,"text":121},"30291865","nikhilsimha","Won't the functional variant read better than the SQL dialect ``` movie_reviews .filter(_.actor.name.lowercase() == \"Zendaya\") .groupBy(_.title, _.credit_order, avg(_.ratings))…",{"id":123,"by":124,"text":125},"30293179","spankalee","This query language looks really nice! I wish GraphQL were more like this and considered built-in features like where clauses and cursors, instead of having to add those over the…",{"id":127,"by":128,"text":129},"30295072","eyelidlessness","I’ll add to the positivity: this is the first time I’ve ever found a “we can do better than SQL” compelling. It’s easy to understand what it’s doing with a variety of known…",{"value":131,"source":85,"evidence":132},"Congratulations on the stable 1.0 release",[133,137],{"id":134,"by":135,"text":136},"30291888","gfodor","Congrats - this looks really interesting, and this is coming from a person who generally ignores new shiny database news. Def will be checking this out!",{"id":138,"by":139,"text":140},"30290240","tailhook","Hurray!",[142,153,157,162],{"value":143,"source":85,"evidence":144},"Seems like a thin layer over Postgres; benefits not concrete enough",[145,149],{"id":146,"by":147,"text":148},"30295811","person3","This seems kind of cool, but honestly the benefits described don't really solve actual problems I've run into in development. The overall article reads like marketing talk and…",{"id":150,"by":151,"text":152},"30291950","likecarter","I don't understand the benefit. It's just a query language on top of Postgres? It doesn't seem to have the performance characteristics of a graph database, while acting like it…",{"value":154,"source":85,"evidence":155},"Calling it a graph database is misleading",[156],{"id":150,"by":151,"text":152},{"value":158,"source":85,"evidence":159},"Performance claims versus SQL unproven",[160,161],{"id":88,"by":89,"text":90},{"id":59,"by":60,"text":61},{"value":163,"source":85,"evidence":164},"Considered an ORM despite maker's distinction",[165,169],{"id":166,"by":167,"text":168},"30292449","ComodoHacker","So it's basically an ORM over Postgres (and only Postgres)?",{"id":170,"by":171,"text":172},"30305838","ignoramous","> So it's basically just translated to a relational database in normal form So... just an ORM ;)",[174,182,186],{"value":175,"source":85,"evidence":176},"Benchmarks and performance data",[177,178],{"id":146,"by":147,"text":148},{"id":179,"by":180,"text":181},"30293602","ei8ths","how well does it scale?",{"value":183,"source":85,"evidence":184},"Jepsen-style correctness analysis",[185],{"id":127,"by":128,"text":129},{"value":187,"source":85,"evidence":188},"Swift client library",[189],{"id":70,"by":71,"text":72},[191,195,202,213],{"value":192,"source":85,"evidence":193},"How does it scale?",[194],{"id":179,"by":180,"text":181},{"value":196,"source":85,"evidence":197},"What is a graph-relational database?",[198],{"id":199,"by":200,"text":201},"30291387","rahimiali","Could someone explain what a graph-relational database is? I'm not able to extract a technical definition from the paragraph below: \"What is a graph-relational database? EdgeDB…",{"value":203,"source":85,"evidence":204},"How does it compare to Cypher\u002FGQL and other graph databases?",[205,209],{"id":206,"by":207,"text":208},"30292868","jonking","Why a new language? I can see and understand why and where graphs beat out SQL, but what does EdgeQL have over existing graph languages? Eg. vs Cypher or the…",{"id":210,"by":211,"text":212},"30291274","josefrichter","Is this a potential alternative to graph databases too? How does it compare to them?",{"value":214,"source":85,"evidence":215},"Can you view execution plans and internals?",[216],{"id":217,"by":218,"text":219},"30297740","c4m","What's a good way to develop a mental model about what's happening under the hood in EdgeDB? With SQL, I have a mental model of how things work under the hood. For instance, I…",[221,226,230,236,243],{"value":222,"source":85,"evidence":223},"Postgres directly",[224,225],{"id":146,"by":147,"text":148},{"id":150,"by":151,"text":152},{"value":227,"source":85,"evidence":228},"Prisma",[229],{"id":74,"by":75,"text":76},{"value":231,"source":85,"evidence":232},"DGraph",[233],{"id":234,"by":11,"text":235},"30308774","Unfortunately DGraph is having some serious troubles as a company: https:\u002F\u002Fdiscuss.dgraph.io\u002Ft\u002Fquitting-dgraph-labs\u002F16702 Technically speaking though, using GraphQL as a data…",{"value":237,"source":85,"evidence":238},"OrientDB",[239],{"id":240,"by":241,"text":242},"30291525","sverhagen","> the first open source, graph-relational database OrientDB?",{"value":244,"source":85,"evidence":245},"Cypher \u002F GQL",[246],{"id":206,"by":207,"text":208},{"comments":248,"answered":249,"key":250},16,10,[251,254,257],{"id":252,"text":253},"30293947","EdgeDB employee here. I couldn't have asked for a better question to demonstrate the power of subqueries! Here's how I'd do this in EdgeQL: ``` with tag_names := {\"angular\",…",{"id":255,"text":256},"30306342","Exactly, implementation coupling vs interface coupling.",{"id":258,"text":259},"30305004","Yep, you understand correctly! ``` with tag_names := {\"angular\", \"nestjs\", \"cypress\", \"nx\"}, select BlogPost { title, tag_names := .tags.name, match_count := count((select 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62,753,49,441,11,18],"30294512",[764,753,42,441,754,49],"30294766",[766,753,49,297,11,18],"30295046",[768,769,52,293,770,49],"30294196",26,"mbesto",[772,769,42,364,269,49],"30294311",[774,769,52,297,775,49],"30296007","didip",[777,778,52,779,780,49],"30297093",27,"maker\u002Fpositive\u002Fdocs","xeromal",[782,778,42,438,298,49],"30297133",[784,785,42,301,786,49],"30298775",28,"nlnn",[788,789,42,301,790,49],"30292380",29,"aljgz",[123,792,52,793,124,49],30,"project\u002Fpositive\u002Fdesign",[795,792,49,629,298,49],"30294864",[797,792,49,316,124,49],"30295763",[799,792,42,497,298,49],"30296012",[59,35,18,272,60,49],[802,35,49,625,803,49],"30291481","robertlagrant",[805,35,42,301,298,49],"30291520",[807,35,49,316,298,49],"30291549",[809,35,49,316,630,49],"30298331",[811,812,42,301,813,49],"30295736",32,"0x202020",[815,812,42,441,298,49],"30295782",[817,812,52,743,813,49],"30295880",[150,819,18,272,151,49],33,[821,819,49,629,468,49],"30292679",[823,819,49,320,298,49],"30293064",[825,819,49,826,827,49],"30293799","commenter\u002Fcritical\u002Fperformance","dragosbulugean",[829,819,49,625,830,49],"30301834","zzzeek",[206,832,42,497,207,49],34,[834,832,49,316,835,49],"30292950","hobofan",[837,832,49,316,838,49],"30298817","hvacker",[840,832,49,316,841,49],"30300852","keithwhare",[843,832,42,497,269,49],"30293046",[845,846,52,278,847,49],"30294735",35,"solairephantom",[849,846,42,275,269,49],"30295964",[851,852,42,275,853,49],"30297597",36,"treve",[855,856,42,283,857,49],"30293126",37,"hackandtrip",[859,856,42,283,269,49],"30294009",[861,862,18,609,863,49],"30291226",38,"kurjam",[865,862,52,779,298,49],"30291294",[867,868,42,497,869,49],"30293737",39,"totony",[871,868,42,497,298,49],"30293831",[873,874,18,875,876,49],"30303580",40,"project\u002Fcritical\u002Fpricing","hotfixguru",[878,879,42,275,880,49],"30297572",41,"fuddle",[882,883,18,356,884,49],"30296077",42,"stevefan1999",[886,883,42,441,298,49],"30296143",[888,889,42,283,890,49],"30299921",43,"golondon",[892,893,42,301,894,49],"30293498",44,"vander_elst",[896,893,49,629,298,49],"30293863",[898,899,18,609,900,49],"30295544",45,"thejosh",[902,899,18,609,903,49],"30295605","wafer-bw",[905,899,42,385,298,49],"30296003",[907,908,42,301,909,49],"30292758",46,"rakibtg",[911,908,49,441,11,18],"30292969",[913,914,52,434,915,49],"30294171",47,"xrendan",[917,914,42,364,269,49],"30294345",[919,920,52,434,921,49],"30302114",48,"brainbag",[923,924,42,301,925,49],"30292766",49,"radicality",[927,924,52,293,269,49],"30292918",[929,924,52,793,298,49],"30292975",[931,32,52,434,932,49],"30291044","sakopov",[934,32,42,364,298,49],"30291065",[936,32,52,293,937,49],"30297627","Serow225",[939,940,42,283,941,49],"30295502",51,"jitl",[943,940,42,283,269,49],"30296112",[945,946,42,289,947,49],"30297439",52,"diimdeep",[949,946,42,289,298,49],"30297485",[951,952,52,793,373,49],"30318609",53,[954,955,42,497,956,49],"30297599",54,"tomerbd",[958,959,52,434,960,49],"30298790",55,"thehyphen",[962,963,42,964,965,49],"30320980",56,"maker\u002Fmixed\u002Fnone","dcsan",[967,968,18,272,969,49],"30299396",57,"einpoklum",[971,972,42,973,974,49],"30291675",58,"project\u002Fmixed\u002Fdocs","yewenjie",[976,972,42,289,298,49],"30291710",[978,972,49,320,449,49],"30292789",[980,981,18,272,775,49],"30295987",59,[983,981,42,283,298,49],"30296025",[985,986,18,356,987,49],"30301637",60,"RamblingCTO",[989,990,52,293,991,49],"30293659",61,"quickthrower2",[993,994,18,369,370,49],"30301051",62,[996,997,42,301,698,49],"30291979",63,[999,997,42,301,298,49],"30291997",[1001,1002,42,662,1003,49],"30296531",64,"chrismarlow9",[1005,1002,49,320,1006,49],"30297717","mb7733",[1008,1009,42,301,1010,49],"30292485",65,"smw",[1012,1009,42,275,726,49],"30292550",[103,1014,18,460,104,49],66,[1016,1014,42,283,298,49],"30291686",[1018,1014,42,283,698,49],"30291918",[1020,1014,42,283,1021,49],"30292249","gazpacho",[1023,1014,42,283,298,49],"30292494",[1025,1026,42,289,1027,49],"30291626",67,"xdfg13345",[1029,1026,42,385,298,49],"30291640",[1031,1032,42,1033,1034,49],"30297267",68,"project\u002Fmixed\u002Fnone","imachine1980_",[1036,1032,42,364,726,49],"30297655",[134,1038,52,434,135,49],69,[1040,1038,52,297,298,49],"30291952",[1042,1038,42,364,135,49],"30293264",[1044,1038,42,364,298,49],"30294878",[1046,1047,18,272,1048,49],"30293148",70,"dawei67",[1050,1047,42,301,1051,49],"30293437","slx26",[1053,1054,52,434,1055,49],"30293165",71,"joefigura",[1057,1054,52,297,298,49],"30293175",[1059,1060,18,356,1061,49],"30292922",72,"tzahifadida",[1063,1060,42,301,298,49],"30293002",[1065,1066,42,289,1067,49],"30291712",73,"tluyben2",[1069,1066,42,289,298,49],"30291728",[1071,1066,42,289,1067,49],"30291856",[1073,1066,42,289,444,49],"30294183",[1075,1076,42,301,1077,49],"30292086",74,"spullara",[1079,1076,42,441,298,49],"30292139",[1081,1076,42,662,1077,49],"30326216",[240,1083,42,301,241,49],75,[1085,1083,49,629,298,49],"30291619",[1087,1083,42,301,1088,49],"30291755","waterbase",[1090,1083,52,793,298,49],"30291991",[1092,1083,42,497,876,49],"30299284",[1094,262,42,301,1095,49],"30300549","Ambix",[1097,1098,18,272,1099,49],"30301077",77,"jamesfisher",[210,1101,42,301,211,49],78,[1103,1101,42,301,298,49],"30291290",[1105,1101,52,293,1021,49],"30292207",[1107,1101,18,356,211,49],"30292255",[1109,1101,49,320,1021,49],"30292352",[1111,1101,49,316,1021,49],"30292362",[1113,1101,52,293,1114,49],"30300035","torgard",[138,1116,52,434,139,49],79,[1118,1119,42,283,180,49],"30293605",80,[1121,1122,52,434,1123,49],"30292090",81,"sagarjs",[1125,1122,42,289,269,49],"30292103",[1127,1128,52,434,1129,49],"30297208",82,"allisdust",[1131,1128,42,364,298,49],"30297225",[1133,1134,42,364,1135,49],"30294193",83,"danr4",[1137,1138,42,364,956,49],"30297628",84,[179,1140,42,283,180,49],85,[],[1143,1148,1153,1157,1161,1166],{"id":1144,"name":1145,"points":1146,"category":1147},"30332535","iradesign",572,"creative",{"id":1149,"name":1150,"points":1151,"category":1152},"30362112","hue.tools",481,"dev_tools",{"id":1154,"name":1155,"points":1156,"category":1147},"30356944","Streamline",313,{"id":1158,"name":1159,"points":1160,"category":1152},"30364020","ytcast",227,{"id":1162,"name":1163,"points":1164,"category":1165},"30349243","Shortwave",224,"productivity",{"id":1167,"name":1168,"points":1169,"category":1170},"30286185","Makers.so",180,"web_saas",false,"v2",{"id":1174,"name":5,"line":6,"ai":1171,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":1175,"top":18,"kw":1176,"maker":11,"domain":10,"tier":19,"attempts":49,"strip":1177,"url":9,"mix":1178,"praise":116,"objection":143,"sub":21},30290225,0.05,[24,25,26,27,28],"3502224441443335333342344234225423343334",[32,33,34,35],1794036616808]