15 futuristic databases you’ve never heard of

[@NamalJayathunga]

1 Planetscale 0:45 2 Yugabyte 1:32 3 Neon 1:51 4 Dolt 2:08 5 CockroachDB 2:43 6 Cloudflare D1 3:08 7 Xata 3:48 8 8Base 4:26 9 EdgeDB 4:47 10 SurrealDB 5:22 11 Fauna 5:55 12 Mem Graph 6:23 13 KeyDB 6:47 14 MeiliSearch 7:20 15 Mindsdb 7:49

[@roycechua]

Thanks for this!

[@CheshireSwift]

@Fireship it'd be rad if you could include timestamps like these in the description so that they appear on the video itself 🙏

[@LOVETOWATCHNEW]

What can you do with this all?

[@TheThunder005]

Ha great recap thanks @NamalJayathunga

[@rl6382]

Hero we don’t deserve

[@SurrealDB]

Thank you very much Fireship for the feature. As always, we really appreciate it. Have a great 2023! ❤

[@nathanoy_]

I predict that surrealDB will be the gold standard in a few years.

[@x2_zoa141]

This actually is the real account

[@x2_zoa141]

Went on ur website to find out

[@ThomPorter74]

I found SurrealDB through Fireship, just getting going with it but absolutely LOVE it. You guys are doing awesome work! :)

[@chickeninabox]

We are already a 1/3 into February now. Time flies, it feels like it is still the 1st of January

[@HemstitchedIrony]

One thing I hate about developer tools is developers love making developer tools so there's way too many choices and I get choice paralysis.

[@Keilnoth]

Just ignore everything with an on-demand pricing model and you already have removed 80% of the choices.

[@reprovedcandy]

"For your next failed side project" - LOL I felt that one.

[@silentsushix3]

Bro, like a hot knife straight to the heart....

[@iamdashdeveloper]

Yeah. me too🥲

[@spycatlord]

I'm here after 12 seconds. You're welcome, Fireship.

[@leonardoraele]

What a blazingly fast comment

[@ygorperez]

Much better comment than the guys who comment first, well done!

[@Ctrl_Alt_Elite]

@@leonardoraele 20x performance increase!!!! 🔥😱👈👉👆👇👊🙌🤝🙃🔫

[@dfsgjlgsdklgjnmsidrg]

definitely need a fast database to allow for this speed

[@dontreadmyusername6787]

Game changing , ultra fast scalable comment section

[@linkbuda]

Thanks Fireship for featuring Memgraph!! Streaming graphs FTW

[@jordymaryns4945]

Rip Planet Scale free tier

[@thetrends5670]

Now I don't watch your videos for software development purposes, at this point I just enjoy your memes.

[@guille.16x]

the left, right, inner, fullouter joins meme killed me!! hahaha

[@gonzaloayala9334]

0:43 guillermo franchella cameo, nice one fireship

[@hansiboy5348]

I would have liked you to include some time series optimized databases. They are very essential for IoT projects

[@willi1978]

Are they so much better? Most of the time I saw time series data stored in relational dbs

[@hansiboy5348]

@@willi1978 Yes they are. If used correctly they can achieve 90% compression rate on time series data, using compression techniques like delta encoding and run length encoding.

[@arlandmv4053]

do you know of any? Id like to know some

[@ilijanl]

timescaledb is probaby a good starting point (just extension of postgresql)

[@SamI-yq8oc]

@@arlandmv4053 as IlijaNL , timescale is cool. I'm working on migrating my company's crufty postgres db schema to a fresh timescale one. It compressed 100GB of timeseries data (4-5 years' worth) down to 14. And then their downsampling algorithm was able to turn half a year of measurements into 750 data points in 2.7 seconds. I tried it with 1.5 years and it came back in 3.3 seconds. It's insane.

[@milos018]

JS: There is a new framework seems like every day! DB: Hold my bear!

[@husseinkizz]

Man your a learning machine or an alien, the way you skeem through all that and teach it to us like you made it :)

[@salmanbehen4384]

Seriously, All I want from him is how to learn in 100 seconds

[@maythesciencebewithyou]

He got 1.84 million subscribers. People like that make a lot of money on KZbin. Enough to pay people to do research for them, write a script and help with the editing.

[@salmanbehen4384]

@@maythesciencebewithyou Thanks for the red pill.

[@jordanmoats872]

That's probably the most important skill a developer can have today. You need to keep up on new technologies constantly to stay competitive in this industry.

[@mihaes7172]

I am watching again this material 5 months later and still a lot of hints to check over. Thanks for your work - kind of IT tech wikipedia

[@PlanetScale]

Thanks for the shout out!

[@rign_]

minddb is especially helpful to ai/ml researchers and fine-tuners because it's easier to retrieve the training data and then use the training data with a logical "sql" like syntax.

[@Cassandra_PGML]

I may be biased, but PostgresML is more scalable, more capable and several times faster than MindsDB. You can google it and find the benchmarks.

[@godnyx117]

Outside of jokes, the fact that your are showing off new technologies in a world where people seem to only give them a chance when they get "stable", makes your channel a TOP! Bonus for the way you present things and for your humor ;)

[@cloudergnu]

AGE (A Graph Extension) for Postgres seems similar to EdgeDB. Using Cypher to query the graph, but iirc you can mix sql and cypher together to get the best of your existing model with graph on top

[@ra2enjoyer708]

If you mix SQL and Cypher you get a DSL only one person in the world understands. Also input sanitization and regular expression handling becomes a giga cancer.

[@lauej]

I am currently writing master thesis evaluating the extension Citus that distribute postgresql very efficiently and transparently, but still reusing most of the postgresql code. Definitely interesting as it also supports a lot of extensions, which is also a great property of postgresql.

[@i_dont_likevodka3062]

wow. A few hours ago I was searching for a cool new db to use in my own project. And bam! This video released!

[@GuruCodeWriter]

Same for me! Ship sails

[@AlecThilenius]

I'm always amused just how well Google/Amazon/MS have sold web devs on the 'infinitely scalable cloud' Kool-Aid. Seems most don't even know what a modern server (measured in hundreds of cores and terabytes of RAM) is capable of any more. Better usability (like SurrealDB) I do get excite for 🤘🤘 At least until AWS "adapts" it into a cloud offering and it dies as an open-source project.

[@martinchoutka2279]

I'm not sure I understand your message. Are you telling us, that developers nowadays don't think that sometimes your own server is better than cloud providers that scale the resources based on your project needs? And that developers straight up want to run their apps in the cloud rather on their own infrastructure?

[@Microphunktv-jb3kj]

From all this video, surreal seemed something i want to explore what it is... how is surreal better than postgres for example? ...

[@pastelstoic8416]

Luckily, that won't happen! Surreal has a "you aren't allowed to sell this, looking at you Amazon" clause in their license.

[@AlecThilenius]

@@pastelstoic8416 That'll just slow them down a bit. Maybe. I like those new licenses but Amazon will find a way to rip any good idea off. Interestingly, their retail is notorious for that as well, ex Sling: kzbin.info/www/bejne/fpPbiHqghpemsLM But hey, what's a poor guy that needs a third G-650 supposed to do 🤷‍♂

[@shableep]

A lot of people just want to build an app and not want to have the very real effort of managing the IT of a physical server. I get maybe you or others similar don’t think it’s any effort. But it is. Along with managing reliability and stability of your own server. I mean props to you and others like you for doing it. But the. loud isn’t Kool-Aid, and rolling your own server isn’t a silver bullet.

[@thethiny]

Your videos are educational and people of all ages use them to learn. Was the dolphin scene really necessary or useful?

[@paradiseexpress3639]

It was necessary and useful. Cry about it

[@thethiny]

@@paradiseexpress3639 are you mentally ill my friend? What I said is not wrong and not crying and stop liking your own comments.

[@javiercandalaft]

Exactly, I now I won't share this publicly in a work environment, just in case someone I don't know sees it and makes them feel uncomfortable not knowing where it comes from.

[@thethiny]

@@javiercandalaft and then you get kids like panda express above telling you it was necessary, lmao. Clearly they had no jobs before.

[@carddamom188]

Since Oracle owns mySQL it means that Oracle dominates the enterprise database and the open-source database world according to 0:24...

[@ethannnnnnn]

I'd love to see a video on full text search engine "databases". Things like Elasticsearch, Typesense, algolia, and more. I have a project using Typesense as a full text search engine, but its not feasible for medium-size amateur projects considering its in-memory approach. I'm not sure what to go with. Keep up the good work!

[@MrBeast-1]

You should do one of CouchDB - I think it is underrated as a NoSQL database for mid-size projects.

[@Darth_Bateman]

No, bad! *sprays you with anti-intellectual spray* BAD!!!!

[@biomorphic]

It's bad, the codebase is terrible, it is very slow, only works over http/https. I wrote a query server and a client, so I know what I am talking about. It has a lot of limitations, and I still regret I have used in a project. It is underrated because it sucks, MongoDB is way better.

[@MrBeast-1]

@@biomorphic I agree not good for larger projects, but I found the usability of it pretty straight forward with libraries like pouchDB.

[@Darth_Bateman]

@@biomorphic We have standards Biomorphic. . . . *We have standards.*

[@wchorski]

big fan of PouchDB with CouchDB

[@SirDamatoIII]

Still waiting for that awesome sounding full Svelte(kit) course!

[@aamederen]

For scaling Postgres, there's also Citus which is a fully open source extension bringing distributed tables and columnar support. It's acquired by Microsoft and also served as a service under CosmosDB brand.

[@uziboozy4540]

Yugabyte is pretty much Citus on steroids

[@aamederen]

@@uziboozy4540 they have different approaches in the dsql area. For example, Citus keeps the PG as is, doesn't fork or anything, and installed on top of the regular pg as an extension, which is important for many. Also their approach for many db concepts like HA or replication are different. The list can go on. btw disclaimer I work on Citus.

[@franckpachot2511]

@@uziboozy4540 Yes, different architecture. CitusDB is sharding on top of PostgreSQL. YugabyteDB is SQL on top of distributed DB. So different use cases. Datawarehouse need many analytic pushdowns, and no need for global transactions or HA -> CitusDB. OLTP need global transactions, foreign keys, HA and elasticity -> YugabyteDB

[@georgehelyar]

Switched from nosql to citus recently and love it. Nosql was just so painful to work with, having to know how data will be queried at the time of writing, having to denormalise data and write it many times by different keys, etc. Queries existed but had such bad performance that point reads were needed to make it scale well enough, at which point it's just key-value. We evaluated vitess as we run in kubernetes but it was a headache to manage and it was missing many features of mysql 8, while citus is kept up to date with postgres within weeks. Switching to citus (cosmos postgresql) has reduced the amount of data we store, made it much easier to work with to implement new features and improved performance dramatically. Huge success story for us.

[@neatfastro]

ArrangoDB is also a graph + document database with it's own programming like wish language.

[@wuupio]

Very smart to put 8base on 8th place! 😁

[@danieldosen5260]

Your well-produced videos help increase the speed in which my failed-side-projects can ramp up.

[@igorcotruta]

You will love to make a 100-sec video on DuckDB, given their cloud proposition is called MotherDuck, and they have Ducklings in their architecture. The script just writes itself

[@GuilhermeCaldasO]

I hardly never comment on KZbin, but it’s 4:51am, I can’t sleep and I’m just amazed by those videos!!! Love your channel! Always watch 100 seconds series as part of decision maker!!! Great job guy! 🎉

[@MarkWladika]

New databases have been "coming out" for the past 30 years, we're still using SQL.

[@aaaaaaronftw8548]

Being able to delete databases using drop is great :)

[@Rundik]

Title: futuristic databases Actual video: database hosting solutions

[@WillJackDo]

Dude, you're klillin' it. So happy for you.

[@UselessDuckCompany]

8base looks pretty cool. Definitely taking this for a spin.

[@slashd]

I just signed up for 8base, looks like fun to experiment with 😄

[@techwithattila]

Not quite I sure the idea behind database branching. Like does the data replicated to the branch as well? Or is it just the schema? If so what’s the benefit vs just checking that locally… Maybe you can create a video on that?

[@kellymoses8566]

I'm impressed by how funny you can make these vids. The Rust joke and the "image of two dolphins f**cking" made me lol.

[@Lewdovico]

Is it blazingly fast?

[@zurgmuckerberg]

Finally a list of "things that you've never heard of" that I actually never heard of.

[@konstabelpiksel182]

failed side projects? bold of you to assume im gonna even start them

[@PremiumLeo]

15 more databases for my next failed side-project... sounds about right

[@jaktrak]

After 8months of studying software development, I am proud to say I understood 15% of what he said at 2X speed.

[@aberba]

You'll get there bro

[@karlstenator]

We need a database to manage these databases.

[@dsuess]

The first 10 seconds speaks volumes

[@CodingWithLewis]

I'll wait next week for the next release of a database

[@yaronlevy]

Great review of existing exotic DBs. Still, many will remain in "toy-state". Remember it takes around 10 years (best case) for a DB to mature so that a it will be used in a "real company" (not hobby projects). Also, you actually forgot the most interesting DB currently in development IMO, which is MotherDuck (DuckDB). This DB might actually be a game-changer.

[@leonardoraele]

I don't think it's a matter of time per se. It just takes one "killer" app to become really popular using it and then the technologies it uses also become equally popular.

[@yaronlevy]

@@leonardoraele Not sure. Take a look at FaunaDB. It's way ahead of its time. Absolutely checks all the boxes an more. But they are still struggling to get really big customers. NextDoor did use them but stopped, why?

[@xade8381]

How DuckDB compares to Graph DBs, what i've found is graphs are still better.

[@Juliano-v]

expectation: 15 futuristic databases I can use in the coming months reality: tons of companies using excel as database on a local server

[@fred.flintstone4099]

It's actually Microsoft Access, not Excel!

[@NotTheHeroStudios]

Best part of waking up, is fireship in your notifications. Neat.

[@HitankarRay]

Being used to reading SQL as 'sequel', it really bothered me to hear it being read as 'ess-cue-ell'

[@FloatingDogs]

Futuristic databases that are actually old databases

[@rohitdas490]

Branching is also available on PlanetScale

[@CosasCotidianas]

02:00 made my day man, made my day.

[@Thorax232]

I worked for 8Base. Total mess of firing contract team after contract team. I've been careful not to talk about them hoping they didn't show up on anyone's radar. CLI was completely broken when I was there. Any customization to your db has to be done with serialized lamda functions. And there's no SDK. So you basically just have to throw a random callback into the f*ckin void and hope it does the right thing.

[@ahmedrowaihi9804]

I used to spend long time to decide what DB i will go for, thanks fireship and I will spend an era

[@sufyan56]

1:20 - Rip they realized this and killed the free tier.

[@_sevelin]

Wow, I really liked mindDB, really innovative. I believe there would be some point where we would not longer need backend. We would just throw any form of request to our 'AI server' which will understand English and give out responses from DB. For instance we could say - 'give me person with email this and all their post'. The backend will read that and perform all required operations and give out the results from DB! Pretty doable with the current tech I would say... What are yall thoughts on this?

[@temmie5085]

That is just SQL but more complicated for no reason

[@_sevelin]

@@temmie5085 I agree, but imagine how great the developer experience would become! You could even tell it to perform business logic on that data. So it would basically replace your Java backend and perform all the operations required on the data using only the "software requirement specification" document as input! I would say this is a very profitable business if implemented correctly!

[@4.0.4]

MindsDB is the most interesting one but that Planetscale free tier is almost too good to be true... Makes me wanna do something with it.

[@fred.flintstone4099]

Yeah, until they remove the free tier or increase the prices, or the company goes out of business. Then you're in for a worse time than ActiveX and Silverlight.

[@thesanjithkumar]

I don't what is server less and why are all new database packages are trying to be server less

[@alessandrodemanzano3527]

What about ArangoDB ? it's multi paradigm document-key/value-graph, seems interesting

[@AlBakerDev]

We have been using Stardog recently

[@yifeiren8004]

None of this is new database. This is just a branch of database suppliers.

[@sitrakaforler8696]

Man... IT S AWESOME ! Thanks for sharing ! I think that I will try that SurrealDB "Develop easier.Build faster.Scale quicker." Sounds way to good but let's go !

[@akj3344]

Edge, Surreal, Xata and MindsDB look pretty awesome.

[@fred.flintstone4099]

EdgeDB is written in Python, I am not sure I would trust my data with that. Python isn't great for performance, scalability or reliability.

[@FengHuang13]

Mistake at 6:10, Couchbase supports native JOINS ;)

[@hakuna_matata_hakuna]

Neondb is postgres the only difference is they separated compute from storage and persist the storage in something like s3 and cache the important data in the VM , they also have a bunch of tricks to allocate more VMS to handle scaling while retaining the ability to scale down to 0, they even went as far as commiting the changes back into postgres but they probably won't be merged

[@IngwiePhoenix_nb]

Hadn't really thought of AI inside my DB, but it sounds interesting. Would love to learn a little more about potential usages and have a more precise example. ^^

[@pruthvirajshiv]

Bigquery, Aurora already does some ML inside the DB. Check it out

[@loucyx]

I was expecting at least a mention of DGraph, which is a native GraphQL database (data is stored in graphs), is made in Go, and is pretty straightforward.

[@YT69]

The moment i saw the title, i knew right away that surreal would have a place in the list

[@fred.flintstone4099]

Rightfully so!

[@joaquimley]

Lokking forward to see how surrealDB will evolve

[@aus10d]

TigerBeetle is another new entry that's really, really interesting. Very excited to see where it goes and how it evolves

[@yokowasis]

Now, which one has the offline-first paradigm ?

[@tensorx4812]

This video came at the time I needed it the most and I'm late, 2mins late

[@this.channel]

Most interesting for me were EdgeDB and SurrealDB.

[@fred.flintstone4099]

I think SurrealDB is interesting but EdgeDB is written in Python which is a great language for many things but not for a database. Also, I think it is a bit unfortunate that EdgeDB uses some weird := colon-equals syntax.

[@michaelbitzer7295]

@@fred.flintstone4099 EdgeDB is not fully written in python. The important bits are in C/Rust.

[@fred.flintstone4099]

@@michaelbitzer7295 93.5% Python, 4.2% Cython, 2.2% Rust, Other 0.1%

[@michaelbitzer7295]

@@fred.flintstone4099 your point is?

[@fred.flintstone4099]

@@michaelbitzer7295 It's a lot of Python. I code in Python myself, and I like it for some stuff, but I wouldn't want to use any database written in Python. It is absolutely terrible for performance, scaling and reliability.

[@johnaweiss]

The DB-Engines ranking ISN'T based on number of installations, it's based on things like "Number of mentions of the system on websites". "Frequency of technical discussions about the system" could indicate that a system is buggy or hard to use, so people have to ask a lot of questions. It also includes "Number of job offers", which is a better indicator. I think total number of actual USERS is a more important metric. And, number of installations. Neither are included.

[@jeffargen4535]

Uncle Bob from clean coder led me to find XTDB recently which has some pretty novel features like bitemporality and immutable storage, but playing around with it I actually think the best feature is datalog. So much better than SQL or these proprietary ORM clients that things like fauna or edge db force on you

[@kellymoses8566]

Gonna need a database of all the database engines.

[@neutronstar03]

that's an hell of a headache of a video! great research

[@balramverma4873]

“if you wanna look cool in front of your friends” was epic 😂

[@Q-Ball.]

Those were some crazy ass databases fr

[@pictureus]

Super happy with Meilisearch.

[@mtyrio]

It's a totally new, ground breaking database that changes the way you think and work. Is it wrapper for PostgreSQL? Yes, it's PostgreSQL with additional layer of abstraction that will give you brand new problems.

[@fred.flintstone4099]

Creating an entirely new database is a huge undertaking (sharding, replication, discovery, master/slave, consensus algorithm, failover, distributed, clustering, etc). PostgreSQL is a great database, so building on top of it might not be a bad idea. EdgeDB which builds on top of PostgreSQL is written in Python though which is not great for performance, scalability or reliability.

[@brielov]

Would love to see more content on edgedb

Wonderful summary of databases i heard first time

[@sutanughosh5322]

I think it's worth mentioning these two databases from Google. Google Spanner is fully transactional and massively scalable and alloyDB which is like postgress but on steroids. We use spanner for a system used by 60K people every day for 14-15 hours a day with a data growth of 1TB a month without any hickups. AlloyDB cache is state of the art and 10 to 100X faster then GCP Postgress.

[@one_step_sideways]

YDB (Yandex's DB) is also worth mentioning. It became open source last year.

[@OlegKorsak]

KGB DB

[@incremental_failure]

@@OlegKorsak "Tavarish, you put data in DB, data go to Moscow, Moscow do analysis, you get letter of greetings from Vladimir Vladimirovich".

[@patrickinshutimakuba]

I’m really curious how you get to know all these possible options

[@Kingromstar]

The picture of the dude with the beards and hair was hilarious when talking about joins, omg.

[@danyalutsevich]

i love your channel very much. I've learnd so many useful things and now planetscale made my life 2.66 times easyer. thank you

[@atanjacket]

My mind i/o ports are usually occupied by streaming anxiety

[@pierrekilgoretrout3143]

0:25 excellent illustration 😀

[@nolanmaddy4085]

Great video! Curious if you have covered the popular Snowflake engine. As a data engineer I see snowflake as the gold standard. Integrating that with dbt and you have the hippest BI stack!

[@tycooperaow]

I use Snowflake at my job and I love it. Unfortinately they aren't startup friendly

[@user-si8ez4xd2f]

WHY HAVE YOU NOT TOLD ME BEFORE THAT YOU HAVE A SECOND CHANNEL.... more content to binge watch. nice.

[@bigblackchivalry9070]

This kinda of video show me how much of my area I don't know. Really important

[@Anthony755]

0:42 I wasn't expecting to see Guillermo Francella in a video about databases.

[@sohrobby]

This was awesome thanks for putting it together.

[@cangurcan99]

If we don't need horizantal scaling (mid-size project) does it worth swtiching to modern databases?

[@TinyHomeLabs]

I feel like Cockraochdb was just shrugged off when it's a really good cloud native distributed sql database.

[@fernandomedina775]

Love seeing Guillermo Franccella's meme and "Te lo resumo así nomás" logo. 🇦🇷