[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"categories":3,"category-backend-databases":85,"category-backend-databases-comparisons":86,"category-backend-databases-lists":308,"category-backend-databases-posts":352},[4,15,25,35,45,55,65,75],{"id":5,"documentId":6,"name":7,"slug":8,"shortName":9,"description":10,"icon":11,"createdAt":12,"updatedAt":12,"publishedAt":13,"seoTitle":14,"seoDescription":14},43,"d2n69w6u5jw2n9uxksqsks74","AI Chatbots & Assistants","ai-chatbots","AI Chatbots","Conversational AI assistants for reasoning, writing and everyday tasks.","Bot","2026-09-07T09:42:12.650Z","2026-09-07T09:42:12.677Z",null,{"id":16,"documentId":17,"name":18,"slug":19,"shortName":20,"description":21,"icon":22,"createdAt":23,"updatedAt":23,"publishedAt":24,"seoTitle":14,"seoDescription":14},45,"q3aub1u192qczyq8cyurhbau","AI Coding Tools","ai-coding","AI Coding","AI pair programmers, code completion and agentic coding tools.","Code","2026-09-07T09:42:12.712Z","2026-09-07T09:42:12.726Z",{"id":26,"documentId":27,"name":28,"slug":29,"shortName":30,"description":31,"icon":32,"createdAt":33,"updatedAt":33,"publishedAt":34,"seoTitle":14,"seoDescription":14},49,"kyxgrju9qcbsahxr6c3gy1rk","AI Dev Frameworks","ai-frameworks","AI Frameworks","Frameworks and tooling for building LLM-powered applications.","Blocks","2026-09-07T09:42:12.793Z","2026-09-07T09:42:12.817Z",{"id":36,"documentId":37,"name":38,"slug":39,"shortName":40,"description":41,"icon":42,"createdAt":43,"updatedAt":43,"publishedAt":44,"seoTitle":14,"seoDescription":14},47,"et5dhnhik9xxbypugwx4pfh5","AI Image & Video","ai-image-video","AI Image\u002FVideo","Generative models for images, art and video production.","Image","2026-09-07T09:42:12.751Z","2026-09-07T09:42:12.767Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},37,"cnjfk8r7abaq5mkotekzo8fz","Backend & Databases","backend-databases","Backend","Databases, APIs and data-layer architecture for server-side systems.","Database","2026-09-07T09:42:12.415Z","2026-09-07T09:42:12.474Z",{"id":56,"documentId":57,"name":58,"slug":59,"shortName":60,"description":61,"icon":62,"createdAt":63,"updatedAt":63,"publishedAt":64,"seoTitle":14,"seoDescription":14},39,"s4ujx5e37x7cla49kfbz9xnq","DevOps & Cloud","devops-cloud","DevOps","Containers, infrastructure and cloud platforms for shipping and running software.","Cloud","2026-09-07T09:42:12.508Z","2026-09-07T09:42:12.541Z",{"id":66,"documentId":67,"name":68,"slug":69,"shortName":70,"description":71,"icon":72,"createdAt":73,"updatedAt":73,"publishedAt":74,"seoTitle":14,"seoDescription":14},35,"zy2v9u5ac9aeyfl4q9mnsm1g","Frontend Frameworks","frontend","Frontend","UI frameworks, meta-frameworks, styling and state management for the browser.","LayoutTemplate","2026-09-07T09:42:12.327Z","2026-09-07T09:42:12.375Z",{"id":76,"documentId":77,"name":78,"slug":79,"shortName":80,"description":81,"icon":82,"createdAt":83,"updatedAt":83,"publishedAt":84,"seoTitle":14,"seoDescription":14},41,"kqqemwew4iwvgu0896gur8la","Programming Languages","languages","Languages","Systems and general-purpose languages compared for performance and ergonomics.","Terminal","2026-09-07T09:42:12.577Z","2026-09-07T09:42:12.595Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},[87,202],{"updated":88,"id":5,"documentId":89,"title":90,"slug":91,"dek":92,"featured":93,"verdict":94,"bestForA":95,"bestForB":96,"createdAt":97,"updatedAt":97,"publishedAt":98,"seoTitle":14,"seoDescription":14,"category":99,"tags":100,"features":110,"a":146,"b":174},"2026-08-05","th9v03l74qmaqgg4mytz77kz","PostgreSQL vs MongoDB","postgresql-vs-mongodb","Relational rigor versus document flexibility for your primary datastore.",true,"PostgreSQL is the safer default for most applications — it handles both relational and document-style data well via JSONB. Reach for MongoDB when your data is naturally document-shaped, your schema will change constantly, or you need effortless horizontal sharding from day one.","Applications that value data integrity and complex relational queries.","Rapidly evolving products with nested, document-shaped data.","2026-09-07T09:42:14.175Z","2026-09-07T09:42:14.216Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},[101,104,107],{"id":102,"value":103},647,"database",{"id":105,"value":106},648,"sql",{"id":108,"value":109},649,"nosql",[111,116,121,126,131,136,141],{"id":112,"label":113,"a":114,"b":115},258,"Data model","Relational (+ JSONB)","Document (BSON)",{"id":117,"label":118,"a":119,"b":120},259,"Transactions","Full ACID","ACID (multi-doc, heavier)",{"id":122,"label":123,"a":124,"b":125},260,"Horizontal scaling","Via extensions","Native sharding",{"id":127,"label":128,"a":129,"b":130},261,"Query language","SQL","MQL (JSON-like)",{"id":132,"label":133,"a":134,"b":135},262,"Schema","Enforced (flexible w\u002F JSONB)","Schemaless",{"id":137,"label":138,"a":139,"b":140},263,"Vector search","pgvector extension","Atlas Vector Search",{"id":142,"label":143,"a":144,"b":145},264,"Best for","Structured, relational data","Rapidly evolving, nested data",{"id":147,"name":148,"tagline":149,"score":150,"logo":14,"pros":151,"cons":164},85,"PostgreSQL","The world’s most advanced open-source relational database",9.3,[152,155,158,161],{"id":153,"value":154},650,"Strong ACID guarantees and mature transactions",{"id":156,"value":157},651,"Rich types, full-text search, and JSONB for flexible fields",{"id":159,"value":160},652,"Extensions like PostGIS and pgvector cover niche needs",{"id":162,"value":163},653,"Excellent tooling, ORMs and hosting options",[165,168,171],{"id":166,"value":167},654,"Schema changes need more planning than schemaless stores",{"id":169,"value":170},655,"Horizontal write-scaling needs extra tooling (Citus, etc.)",{"id":172,"value":173},656,"Vertical scaling has real ceilings for huge datasets",{"id":175,"name":176,"tagline":177,"score":178,"logo":14,"pros":179,"cons":192},86,"MongoDB","A document database built for developer velocity",8.3,[180,183,186,189],{"id":181,"value":182},657,"Flexible schema is great for fast-moving prototypes",{"id":184,"value":185},658,"Native horizontal sharding for huge datasets",{"id":187,"value":188},659,"Document model maps naturally to nested JSON objects",{"id":190,"value":191},660,"Atlas offers a very smooth managed experience",[193,196,199],{"id":194,"value":195},661,"Easy to end up with inconsistent document shapes over time",{"id":197,"value":198},662,"Multi-document transactions are heavier than relational joins",{"id":200,"value":201},663,"Complex relational queries are more awkward than SQL joins",{"updated":203,"id":16,"documentId":204,"title":205,"slug":206,"dek":207,"featured":208,"verdict":209,"bestForA":210,"bestForB":211,"createdAt":212,"updatedAt":212,"publishedAt":213,"seoTitle":14,"seoDescription":14,"category":214,"tags":215,"features":222,"a":252,"b":280},"2026-05-22","u1h7z0qfvs6zzvozgui505ep","GraphQL vs REST","graphql-vs-rest","Two dominant API paradigms for client-server communication.",false,"REST is still the pragmatic default for public APIs and simple services thanks to caching and universal familiarity. GraphQL earns its complexity when you have many client types (web, mobile, TV) with very different data needs pulling from a shared backend.","Products with multiple client apps that need flexible, precise data.","Public APIs, simple services, and teams that want easy caching.","2026-09-07T09:42:14.462Z","2026-09-07T09:42:14.497Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},[216,219],{"id":217,"value":218},680,"api",{"id":220,"value":221},681,"architecture",[223,228,233,238,243,248],{"id":224,"label":225,"a":226,"b":227},271,"Endpoints","Single endpoint","Multiple resource endpoints",{"id":229,"label":230,"a":231,"b":232},272,"Over-fetching","Rare (client picks fields)","Common",{"id":234,"label":235,"a":236,"b":237},273,"Caching","App-level (client cache)","Native HTTP caching",{"id":239,"label":240,"a":241,"b":242},274,"Typing","Strongly typed schema","Depends on tooling (OpenAPI)",{"id":244,"label":245,"a":246,"b":247},275,"Learning curve","Moderate","Low",{"id":249,"label":143,"a":250,"b":251},276,"Complex, multi-client products","Simple or public APIs",{"id":253,"name":254,"tagline":255,"score":256,"logo":14,"pros":257,"cons":270},89,"GraphQL","A query language for your API",8.1,[258,261,264,267],{"id":259,"value":260},682,"Clients fetch exactly the fields they need, nothing more",{"id":262,"value":263},683,"One endpoint, strongly typed schema, great introspection",{"id":265,"value":266},684,"Great for aggregating many backends into one graph",{"id":268,"value":269},685,"Reduces the classic over-fetching\u002Funder-fetching problem",[271,274,277],{"id":272,"value":273},686,"Caching is harder than REST’s native HTTP caching",{"id":275,"value":276},687,"N+1 query issues need care (DataLoader, etc.)",{"id":278,"value":279},688,"Adds operational complexity (schema, resolvers, gateway)",{"id":281,"name":282,"tagline":283,"score":284,"logo":14,"pros":285,"cons":298},90,"REST","The tried-and-true resource-oriented API style",8.4,[286,289,292,295],{"id":287,"value":288},689,"Simple mental model — resources and HTTP verbs",{"id":290,"value":291},690,"Native HTTP caching, CDNs and browser tooling just work",{"id":293,"value":294},691,"Easier to secure, rate-limit and monitor per-endpoint",{"id":296,"value":297},692,"Universally understood, minimal tooling required",[299,302,305],{"id":300,"value":301},693,"Over- or under-fetching is common without extra endpoints",{"id":303,"value":304},694,"Versioning multiple client needs gets messy over time",{"id":306,"value":307},695,"No built-in introspection or strong typing by default",[309],{"updated":310,"id":56,"documentId":311,"title":312,"slug":313,"dek":314,"featured":93,"intro":315,"createdAt":316,"updatedAt":316,"publishedAt":317,"seoTitle":14,"seoDescription":14,"category":318,"items":319},"2026-08-22","eap8gdziyno9ioib2w86sexh","Best Databases for Startups","best-databases-for-startups","The databases that let a small team move fast without painting themselves into a corner.","Early on, the right database is the one that gets out of your way. These options all offer generous free tiers and a clear upgrade path as you grow.","2026-09-07T09:42:17.609Z","2026-09-07T09:42:17.641Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},[320,325,332,339,345],{"id":321,"rank":322,"name":148,"blurb":323,"score":150,"badge":324,"comparisonSlug":91},92,1,"The safest general-purpose default — relational when you need it, flexible with JSONB when you don’t.","Best default choice",{"id":326,"rank":327,"name":328,"blurb":329,"score":330,"badge":331,"comparisonSlug":14},93,2,"Supabase","Postgres plus auth, storage and realtime subscriptions out of the box — ships a backend in an afternoon.",8.8,"Best for shipping fast",{"id":333,"rank":334,"name":335,"blurb":336,"score":337,"badge":338,"comparisonSlug":14},94,3,"PlanetScale","Serverless MySQL with branching for schema changes, built for teams that deploy constantly.",8.5,"Best serverless MySQL",{"id":340,"rank":341,"name":342,"blurb":343,"score":178,"badge":344,"comparisonSlug":91},95,4,"MongoDB Atlas","The right call when your data is naturally document-shaped and will change shape often.","Best for flexible schemas",{"id":346,"rank":347,"name":348,"blurb":349,"score":350,"badge":351,"comparisonSlug":14},96,5,"Turso (SQLite)","Distributed SQLite at the edge — remarkably capable for read-heavy apps with light write volume.",8,"Best for edge deployments",[353],{"date":354,"id":76,"documentId":355,"title":356,"slug":357,"dek":358,"author":359,"readingTime":360,"featured":208,"blocks":361,"createdAt":402,"updatedAt":402,"publishedAt":403,"seoTitle":14,"seoDescription":14,"category":404,"tags":405},"2026-07-20","yc7mri2v5en97rdytxrmv986","Why We Still Recommend Postgres by Default","why-postgres-by-default","It’s not the most exciting choice. That’s exactly the point.","ComparedStack Team","4 min read",[362,368,373,377,381,398],{"type":363,"children":364},"paragraph",[365],{"text":366,"type":367},"Every year brings a new database promising to make Postgres look outdated. And every year, for the vast majority of applications, Postgres remains the right default — not because it’s exciting, but because it rarely forces you into a corner.","text",{"type":369,"level":327,"children":370},"heading",[371],{"text":372,"type":367},"The JSONB escape hatch",{"type":363,"children":374},[375],{"text":376,"type":367},"The single biggest reason: JSONB. When part of your data genuinely doesn’t fit a rigid schema, you can store it as JSONB and query it almost as flexibly as a document database — without giving up transactions, joins, or the rest of SQL for everything else.",{"type":369,"level":327,"children":378},[379],{"text":380,"type":367},"When it isn’t the right call",{"type":382,"format":383,"children":384},"list","unordered",[385,390,394],{"type":386,"children":387},"list-item",[388],{"text":389,"type":367},"Your data is document-shaped from day one and will rarely need relational queries — MongoDB is a fair alternative",{"type":386,"children":391},[392],{"text":393,"type":367},"You need effortless horizontal write-scaling from day one at massive volume",{"type":386,"children":395},[396],{"text":397,"type":367},"You want a fully managed, batteries-included backend and don’t want to run your own auth\u002Fstorage layer — Supabase (built on Postgres) is worth a look before you rule it out",{"type":363,"children":399},[400],{"text":401,"type":367},"Full breakdown, with a feature-by-feature table, in PostgreSQL vs MongoDB.","2026-09-07T09:42:17.193Z","2026-09-07T09:42:17.211Z",{"id":46,"documentId":47,"name":48,"slug":49,"shortName":50,"description":51,"icon":52,"createdAt":53,"updatedAt":53,"publishedAt":54,"seoTitle":14,"seoDescription":14},[406],{"id":407,"value":408},977,"databases"]