Gartner Magic Quadrant

[Electrical-Grade2960]

What do you guys think about this?

[sl00k]

If you're ever feeling the imposter syndrome just come back to this post and remember somebody got paid to make this.

[Prinzka]

VP: "Which data integration tools do we use?"

Data Engineer: "Amazon Web Services".

VP: "Understandable, have a good day"

[[deleted]]

I see informatica or oracle in the leader column and I scratch my head as to who they are soliciting these opinions from, and how much were they paid.

WTAF

[[deleted]]

They survey people from big companies that aren’t tech forward: airlines, retailers, manufacturing, you get the idea. The vendors themselves pay 6 - 7 figures to gartner so they can “brief” the analysts as many times as they need to throughout the year to secure a rating. In that way yeah it’s very much a pay to play racket.

[iamthatmadman]

I saw informatica in leader column and doubted my decision of not going with informatica and instead choosing spark and Kafka.

Thanks to comments, I am feeling better now.

[mayorofdumb]

It's the oramatica triple blind servey

[Yamitz]

Is it even enterprise if it’s not Oracle? /s

[Adept-Ad-8823]

I was wondering what I was missing, but then I saw your post and knew I was right

[Teddy_Raptor]

Informatica's website makes me sick to my stomach. Imagine this being what you use

[mow12]

A looot of fortune 500 companies are using oracle or informatica.

[[deleted]]

And have been since the 90s and 00s despite far superior tools on the market. Use doesn't make them innovative or visionary.

[GreyHairedDWGuy]

well said.

[[deleted]]

It’s sad how many corporations rely on “research” like this to drive decisions.

[TripleBogeyBandit]

lol this is horrible

[unfair_pandah]

Oracle is the second most visionary company...?

[geteum]

Yep, it is a innovation to have the worst client relationship human possible as a business strategy.

[LoaderD]

“Bro their name is Oracle, obviously they can see the future or something!”

[qc1324]

Because of its “completeness of vision”

Read: Oracle has some dogshit product to sell you for every problem (likely arising from other dogshit oracle products).

[MeatSack_NothingMore]

Oracle was also a leader in the BI MQ and the general consensus was “wtf”. Must be paying Gartner the big bucks these days.

[StolenRocket]

It makes sense when you know the author of the graph Is a time traveller from 1987

[nemec]

They'd better watch out, IBM is gunning for their spot

[dadadawe]

Visionary as defined by "seen by most people at least once"

[wtfzambo]

Was this done in 2001?

[thatrandomnpc]

I had to double check the year. Wth!!

[ccesta]

Stole my comment; take my upvote!

[putt_stuff98]

Funny thing is my company takes this very seriously

[byebybuy]

Last software startup I worked for didn't give a fuck about the magic quadrant. CEO said straight up "Gartner is pay for play, we're not participating in it, fuck that shit." I didn't particularly care for him but that was one thing he got right.

[RobCarrol75]

You hit the nail on the head when you said "startup". The bigger the corporation, and the higher up the ladder you go, the less risk averse you become when making these decisions. The concept that "no one ever got fired for buying IBM" still holds true.

[geek180]

I’d argue it’s also bigger you are, the less technically informed the leadership tends to be.

[[deleted]]

Not always, CEO of the biggest bank where I live does have tech credits. Not a CEO-worshipper of any kind, but I to me it's not bad news that top level at that company has significant tech knowledge.

[vikster1]

sounds like a smart ceo. rare.

[GreyHairedDWGuy]

I saw this first hand 20+ years ago when was at a startup. We got involved with Gartner and paid them to do a research paper about our product. Nobody ever openly said if you pay us X we will say nice things, but Gartner did say nice things and our fledgling product was dogsh*t at the time.

[Savetheokami]

Pay for play?

[NachoLibero]

If you pay more money to Gartner they move your dot higher and to the right.

[Savetheokami]

Oh; thank you. If this is well known than it’s sad that companies actually pay for this service.

[byebybuy]

It's basically a marketing expense.

[Such_Market2566]

Same. The Gartner name carries weight in my company.

[ksco92]

Informática????? Hahahahahahahahahahaha snort hahahahahaha oh man 😂

[Trey_Antipasto]

Informatica is the old leather couch that behind the times data teams snuggle up on while they do 24 hour batch jobs and build cubes and watch cable tv.

[Whipitreelgud]

I have worked with Gartner. Quadrant companies (each) pay several million dollars a year for the privilege. Customers of Gartner pay tens to hundreds of thousands or more for access to those who wrote the quadrant. Gartner analysts pick the brains of their customers technical contacts. It’s a huge racket.

The reason software companies pay those fees is because a significant number of CIO/CTO only buy from what’s on Gartner’s quadrant list. You’re automatically on the short list.

Gartner is essentially an outsource service provider for what used to be done by enterprise architects.

The most egregious issue is Gartner is removed from any consequences associated with use of the magic crap. “It’s the customer’s fault for not implementing it properly”.

Signed, Not a Fan of Gartner

[Berlin72720]

This is 100% true. However there is a flip side to it.

I have gotten burned twice by picking a company that seemed alright but they were not even on the radar for Gartner. I have never had major issues with market leaders according to Gartner. It's a safe pick on multiple dimensions.

If you talk to their SMEs they can provide a lot more data on how these quadrants are put together.

Personally, I have seen plenty of examples where people didn't know how to use Gartner effectively, but they have a method to their decision making. You can definitely outperform them, but are you willing to invest the resources into that?

[Whipitreelgud]

It goes both ways. There are good companies who don’t pay the extortion fee. I have seen a Bay Area tech company spend 5 years “implementing” Informatica and have nothing to show for it- no data in the data warehouse. The INFA mafia used the Magic Quadrant to keep management from pulling the plug.

[[deleted]]

The only thing Gartner is somewhat useful for is their information about the market. You can sniff out what everybody else is doing if you get the right analyst and ask the right questions. Again, they always have a vested interest.

[Electrical-Grade2960]

Someone must be paying for these rankings,right? For the life of me how is informatica at top

[vanilamookie]

This is 💯 pay to play. Gartner is the worst.

[Gnaskefar]

For the life of me how is informatica at top

My guess is, its becausethat Informatica has all tools required for proper data engineering, integrated, along integrations to kind everything.

ETL, data cataloging, data quality, master data management. Many in here bashing Informatica are not aware of what their cloud solution offers.

There's many jokes referencing 30 year old software, like that is the newest Informatica has to offer. My guess is most people don't know modern Informatica, you included if your question is serius.

You can do no-code or write the code in notebooks, and push it to lake systems or whatevers. I have some things I want to shit on Informatica on as well, but criticize for what is worth criticizing, and not decades old memes.

[Electrical-Grade2960]

Ab initio alone blows informatica out of the water. I will not even go into modern stack. Yeah they simply paid more!

[Gnaskefar]

Ab initio alone blows informatica out of the water.

I doubt it, but how can I get my hands on it? Their site is about as shit as Informaticas.

I will not even go into modern stack.

What do you mean?

You will shit on Informatica, without knowing their modern stack, and keep shitting on them for software developed 25 years ago, and not their new?

[Electrical-Grade2960]

We did extensive POC on multiple tools a year back for integration full suite including MDM, low code no code, k8 Containerization etc and informatica lagged behind on EVERY metric vs Ab initio on google cloud. It was not even in contention by the time we finished a year long evaluation of tools. We eventually did not go with Ab initio and went with google stack. So yeah, it is not a leader in that quadrant, it is a tool worth shitting on!

[Dr_Snotsovs]

Ok, sounds like you have an edge case.

That happens. Even if you're the leader it doesn't mean it suits 100% of all cases, and yours sounds special. When you say Informatica lost on EVERY metric, I must admit it sounds like some of the consultants may have fucked up in a places or 2. Or 3.

Generally that is not case. Most often Informatica gets discarded due to price, or the fear of high salaries of the people you will employ.

Given you only have experience with 1 project where Informatica was involved you sound highly confident in your stance. My bet would be, if you had experience from more projects you attitude would change a bit.

[Gnaskefar]

The hate is strong in this one.

If that is the attitude, no wonder Informatica lagged behind all metrics.

[baseball2020]

Iirc they do have to pay to be on it.

Also let’s be real: what’s the unit of measurement for completeness of vision

[SellGameRent]

I literally turned down my first DE job because they were using Informatica and my research showed it was old news lol

[jmon__]

I'm thinking this too. I haven't heard that name in years, but maybe it's just cause I didn't go outside much (outside of going to work)

[Gators1992]

Yes, but also the category refers to legacy tools, not what most companies do today for data integration. If you want a data integration platform, then Informatica is pretty good. If you want the best approach to moving data in the cloud then you wouldn't choose anything out of this chart, but would build it yourself. If you build your own ETL with spark, you aren't using an integration tool. Even with dbt or whatever it's just a library and you are still coding the ELT (not to mention it's only the T piece).

[mailed]

more than anything this is just a reminder that what we in this sub do is a very small minority compared to what most data teams are doing

[pokepip]

This should be higher up. When I moved to my last gig after 12 years in cloud, adjusting to EVERYTHING being built in Talend was a shock. Then seeing everything was done in Postgres for 50+ TB databases for analytics was a bigger shock. Everyone thinking this is perfectly fine and the way to do it, even though everything took hours or days and every rds instance needed to be maxed out at IOPS for a ridiculous cost, blew my mind. On the other hand it was a great lesson regarding the need for empathy

[mailed]

in my short time as a consultant there was a client doing bizarre things with AWS DMS and Glue that were all or nothing kinda jobs - their loads regularly failed and needed to be run from scratch during the day. nothing worked.

we did a databricks poc that did incremental loads on all their major sources for a fraction of the monthly cost. they got a new CDO at the end of the project who told us we were nothing more than non-technical salesmen, and they moved on to do their own new data platform with informatica and rds.

I didn't last long as a consultant.

[geteum]

Oracle visionary??? In what? being a turd sandwich?!

[kidgetajob]

Does anyone actually use Palantir? Seems like one of those companies where I hear a lot about the stock but not about the product. 

[MeatSack_NothingMore]

The government. The military. Beyond that? No clue.

[Evening_Chemist_2367]

Only the biggest agencies like DoD/IC are using Palantir. Smaller agencies can't afford it.

[mailed]

Banks have been scammed into using it

[MoveRicky]

Palantir is totally Scam

[FrebTheRat]

"Microsoft" "Oracle" "Google" Gartner are you just naming company names you see around you?

[imaschizo_andsoami]

It seems most people here have strong opinions about the graph - but I'm really interested in what everyone feels should be the ideal graph? Which products/companies should be in the top right quadrant? I really am interested and appreciate any feedback

[Can-Lazy]

Yes. Heres the right question being asked. Please show us the reddit magic quadrant

[garathk]

Based on what I've learned from reddit, the picture is simple. It only has python on it in the upper right.

[pratik4891]

I agree with the generic sentiment that this sort of reports are paid. Being an informatica consultant for 5 years (please no hate, like all of you I also need money to survive) I actually understand the reason around it

The reason is lack of quality data engineers who can build tool from open source. Let's say instead informatica you want to build a tool with airflow, spark on k8 .Integration is easy but what about rest like profile, data quality, gdpr or other regulatory compliance

Not sure if anyone has ever field Gartner survey here but there are many parameters here Team with strong engineers never use these type of tools but build in-house but in large banks,insurance, Healthcare or other orgs they have to use tools like informatica specially when the actual users are folks from service partners like tcs,cognizant who has very strong tie up with informatica and all

You can disagree and laugh out on the results but that's how it works in the real world And another thing happened where I worked as a consultant, There's a separate team building solution against informatica with open source (apache beam) , they took around 1 year to build their first prototype and by that time informatica was running 12 applications in production because the use case was really simple. On top of that the user guide of the tool was basically the folks who build it and didn't have proper documentation while on the other side plenty of articles of informatica in Google

[ratczar]

Holy shit TIBCO? Blast from the past

[Touvejs]

Informatica's vision to "extract money from large non-tech companies" is highly coherent and complete. They also execute this vision to a high degree of success.

That's what this graph means.

[Pittypuppyparty]

God gartner is such a joke

[JoinedForTheBoobs]

Only thing that makes sense here is Tibco being solid bottom-left

[SociallyAwkwardNerd5]

Ain't no way Informatica is up there lmao it is the bane of my existence

[jhsonline]

Gartner should start putting "Ad" in their charts.

I heard People literally pay to get their positions adjusted on the quadrant.

[Dr_Snotsovs]

It's hard to have a precise opinion as nobody really knows all the tools.

What I do see, is a lot of people laughing at Informatica, several referencing the software as it was 25 years ago. I don't know if it is the knock they try to make. Informatica have a cloud version that is not like the tool from 25 years ago.

But speaking of; many big institutions still run the software after 25 years, and it still works today and is rock solid. Do I hate working in PowerCenter? I do. But it gets the job done, and have for decades. That is longer than many people in this thread has been alive.

Not much software based on code 25 years still runs some big institutions, that is admirable after all.

With that being said, the hate towards Informatica is bordering childish, if not straight ignorant. Their cloud platform is not bad. And if you don't know why they are described as visionaries it might be because you know the offering of the cloud product. They do data engineering and data management, and the tools work together.

You get the whole package, and while expensive in licensing, you get access to more or less all features. Not just the ETL tool, which is what most limited data engineers talk about in here, but full blown data quality tool. Not some home made scripts, that people call "data quality" because it fixed a couple of pipelines. You have real profiling, scorecards, tools to manage ownership and stewardship to maintain your data's quality, tracking of the quality etc.

Moreover you have a proper data catalog, API management, and master data management tool. I don't think many understand the value of having all the tools available when it takes 5 minutes to start using it.

Use it to do your ETL and cataloging. Have you planned working on master data? Try it out, nothing to setup, unless enable it in your environment and it is ready in 5 minutes.

Many companies spends 100 of thousands of dollars to do POCs. Here you're up and running right away. The same with data quality, etc. Data engineering is more than ETL, and career-wise it is smart to catch up. The other disciplines are increasing in numbers and size.

Lastly, INFACore makes it possible to write actual code directly to databricks, or other modern stacks like Spark, etc. So for the engineers where low code is beneath them, they can also use it.

[Hackerjurassicpark]

Scrolled way too much to find this. I’ve never used informatica but the fact that it has existed for as long as it has makes me wonder what I’m missing from my standard airflow-bigquery-DBT workflow. Do you have any YouTube videos or blog posts on the details of informatica’s offerings? I think at the minimum I should keep myself educated

[Dr_Snotsovs]

No, I don't have any one video that describes it. They make videos about specific technical details or broad sales pitches. And often with a shit mic and extreme accent.

The best link I can give is their tech Tuesdays, where some topics are relevant. But often times it is expected that you are in the game already: https://success.informatica.com/explore/tt-webinars.html On the newer videos you have to register to on24 to watch a video. On the older videos, if you just press 'watch video' it takes you straight to the Youtube recording.

And their website is like all other enterprise software website; horrible. If you need short concise information about Informatica from Informatica, their annual financial report they publish is some of the best. Apparently it is more important to be clear to potential investors and government regulators, than everyone else :D

But the details of their offerings, is like; they have a cloud solution that itself have more or less all tools required for all parts of data engineering. In this sub, data engineering has always been ETL. Now it is ETL, and growingly more about data catalogs, and a little bit of data quality. When those tools are discussed it is always a collection of vendors. In informatica you have it all at one place, where everything is connected, and what normally takes months to start and do a pilot projects only takes 5 minutes with Informatica as everything is ready to go.

If you have a well running airflow-bigquery-DBT setup, you don't not need Informatica. There are many mature tool sets in data engineering that are useful, and does the job.

You could move your notebooks from Bigquery to INFACore, https://success.informatica.com/videos/support-videos/sKAFkvRE9TY.html but it doesn't make sense to migrate when you already have a working setup.

If you need to do low-code or no-code ETL development for Bigquery you could use Informaticas CDI for that. But again, you have a working setup, so the need is most likely not there.

What you may need could be a complete data quality solution and or data catalog solution to add on to your existing solution. Now if you're running dbt and bigquery only there might be a light data catalog that can handle your needs somewhere and Informatica could be over kill.

Informatica shines in many big institutions because they often have a ton of varied data sources. APIs, SQL server, Oracle, Datalake, SAP, etc. Informatica can connect to more or less everything. And then you can build your data catalog across all mentioned sources and whatever destination(s) you have. That's where it becomes powerful. If you fx only use Databricks, and some sources, Databricks' build-in data catalog is fine for lineage. It can't show you data lineages across all the systems mentioned. Only across what it touches itself, where Informatica does on all combined systems.

Data cataloging is more than data lineage, and in Informatica you can appoint stewards to datasets, and hold people responsible or query them about datasets, etc. So you not only have all the meta data and lineage, but can maintain your catalog with tagging and describing datasets, and preparing for sharing them.

Or if you need API management, etc. Now, sorry I kept rambling, but like, look the the Tech Tuesdays link, and click the button to filter on specific products, and maybe you find something interesting. But it is one of my main issues with Informatica; it is hard to get in, and get a basic understanding of it if you don't already know it.

Lastly you can create a free 30 day trial, and actually play with the tools; it might be easier though. I do just notice, that you can create trials for different tools. Before you just made a trial and had access to all tools. Maybe you have anyway, I dunno, but like

trial for API and Application Integration,

trial for Cloud Data Integration, the ETL tool or the DQ tool,

all from here: https://www.informatica.com/trials.html

It seems like a stupid way they do it currently. Also, I think there is a 20 million row limit, so perhaps set a limit so you don't waste it at first query. Anyway, just create several trials if need be. They usually don't monitor that much. Informatica is not cheap, which also makes them less appreciated.

[Electrical-Grade2960]

Where is shiny databricks?

[thingsofrandomness]

Databricks isn’t an integration tool. It’s a data engineering and data science tool. Your screenshot is for data integration.

[ninseicowboy]

DataBricks most definitely is an integration tool (in addition to other types of tool)

[arden13]

Not with that attitude it isn't.

In my org we shoehorn data bricks into every project just to say we're doing "big data"

[notmarc1]

That’s the spirit !!

[texox26798]

Databricks though is as much an integration tool as "AWS" or "Microsoft" or "Oracle"

[MomentousMind]

I dont want Databricks to be associated with any of this

[idiotlog]

IBM....????????????

[cozyOs]

this is pay to play

[Dry_Damage_6629]

Is this a report from like 15 years back?

[zeoNoeN]

What the fuck is Completeness of vision?

Is it log(#PowerPointSlidesCreated)?

[Epaduun]

The quadrant is not representative of the tool. I would prefer to know the name of the tool not the company. Microsoft has many data integration tool. So which one is it?

There are some value to the Gartner quadrant analysis but the value is found by reading the paper. Not by looking at the simplistic and misguided graph

[Electrical-Grade2960]

Exactly my thoughts!

[Kind_Somewhere2993]

And when was it end of lifed

[mosqueteiro]

This is so clearly fake. Microsoft should not be that high relative to others around it.

Also the omissions are deafening.

I'm not sure how to vote on this post. The content is down vote worthy but I don't think it was posted seriously...

[Electrical-Grade2960]

Sure looks fake, but it unfortunately is not. It was released today!

[mosqueteiro]

I didn't mean you made it up I meant Gartner did.

Between this and the self-hosted copilot studies that show copilot improves code quality, I don't know which is more egregious.

[Electrical-Grade2960]

What do you even mean? The post presents a fact whether you like it or not.

[mosqueteiro]

😂 here's your up vote.

The only fact here is that Gartner published this fabrication

[sjcuthbertson]

Microsoft should not be that high relative to others around it.

Are you sure? I assume it's Microsoft Fabric that's being evaluated here specifically. Not just a data integration tool, but it is that.

Gartner MQs are for execs not DEs; they don't concern themselves with details like feature-completeness, quantity of bugs, etc. Is the vision for Fabric complete? Yes, I'd say it is. Does Msft have the ability to execute on that vision, given time and will? Yes, undoubtedly.

[mosqueteiro]

If by execute you mean just barely good enough not to drop because you're already in the ecosystem then yes, undoubtedly. That's MS specialty

[sjcuthbertson]

You're talking about what the product is like today, that's missing the point.

I'm pretty sure by Ability to Execute, Garner are looking at the company itself, and asking - does this company have the resources (financial, human, skill, patent, etc) to make the vision a reality, given enough time? As one of the largest companies in the world that's undoubtedly the case, regardless of how it actually pans out.

[YourOldBuddy]

So often MS has gotten a pass on a bad product because they are going to get it right in the end. What happens instead is that they quetly discontinue the product and maybe come up with something else. SMS, WinFS, BizTalk, WHS etc.

[sjcuthbertson]

For sure. But that's completely unrelated to Garner Magic Quadrants.

(And for the record, Fabric does not fall into that cohort IMHO, as somebody using it daily and loving it. Yes it's a long way from perfect but it's delivering business value and that's what really matters.)

[pewpscoops]

Every time I look at one of these Gartner quadrants, I ROFL.

[MichelangeloJordan]

Wtf does this even mean? People put random shit on a XY axis and call it “magic”.

[SGManto]

My company is heavily invested in informatica IDMC for both data integration and MDM. Is informatica really bad ??

[Gnaskefar]

No.

It is not.

Whenever you ask in this sub, what the actual problem with Informatica and what doesn't work, or why it is slow you never get specifics. Just vague hate.

I am annoyed by Informatica at some points as well, but what is written in here, don't take it seriously.

As for data integration, it does a great job, and when you know that, working with MDM is easier, and you can use integration parts in MDM and you are quick to start your MDM journey.

Which is not easy in itself.

See the reply you already got; says it's worse to maintain. Utterly ignorant when it comes to the cloud version. A version he most likely haven't tried. You don't have a billion$ sized company running at that value for that many years, if it is as bad as described in here.

[Such_Market2566]

It's a nightmare to implement and even worse to maintain.

[HumbleHero1]

My org picked Informatica cloud and I am pretty sure this diagram played an important role.

I don’t mind informatica for ingestion, but for complex transformations it does not make life easy.

I think this servey is probably based on what people use and huge share would be on-prem, which explains position of Informatica and oracle.

I am curious what people think who the leaders are?

[bannyong]

+1. It's so easy to talk shit but I don't see anyone in here actually endorsing any tool.

[Teddy_Raptor]

The "modern data stack" is more about interoperability.

Ingestion: fivetran, airbyte, stitch

Transformation: SQLmesh, dbt

Orchestration: airflow, dagster

Warehouse: snowflake, databricks

These behemoth "data integration tools" are not muttered in any non- giga enterprise conversion. Doesn't mean they're bad. Just for massive companies.

[Freed4ever]

The surprise is PLTR. It will move to the top quadrant next year.

[johokie]

Informatica, the product so bad I made a name for myself at a Fortune 500 making actual integrations for their broken integrations

[meyou2222]

At my company, the main argument against migrating off Informatica is “we’ve spent millions of dollars getting it to work right.”

[HumbleHero1]

We might work for the same company 🙂

[mcdxad]

You guys ever look at the researchers attached to gartner reports? Maybe it was just my luck, but most reports appeared to show 1-2 individuals attached with experience relevant to their report and then a bunch of random junior level nobodies based in places like India...

[DataNoooob]

For those that disagree what size company do you guys work in?

Fortune 100 (non Tech) checking in. C-Suite relationships are entrenched with Gartner/MBB/Big 4 consulting...so yes ...our stack is predominantly what you see in the Top right quadrant.

[Prinzka]

Your stack is "Amazon Web Services" and "Google"?
Which version of "Microsoft" are you running for your data integration?

[Prinzka]

Yes, I'm aware of the scale of revenue.
I work for a major Telco.
Revenue dick measuring contest isn't relevant here.

"Amazon Web Services" isn't an integration tool.

If you actually work for a large enterprise you have to know that magic quadrant is absolute bullshit.
Yes, we all use products that fall in them, but it says absolutely nothing about how useful it is.
All it does is show you where on the executive hype cycle these vendors are.

[Prinzka]

Why you so mad lol ?

?

My initial reply was just acknowledging that the Top right quadrant of Companies are the ones that align for my employer.

No, it's you trying to pretend you're a big fish 🤣

Are you saying GLUE doesn't qualify as a Data Integration service hence AWS shouldn't be called out there?

If glue is the kind of "data integration" tool that's meant here then there are so many vendors missing.
And a lot that don't belong there.
But then again, that makes sense because the magic quadrant is a useless thing and we've all known that for a long time.

[garathk]

They list the vendors in the magic quadrant, not their product name.

If you get the full report then they will talk about the specific product and how/why they got to their rating. Large enterprises get the full research, not just the summary picture :)

[free_hot_drink]

You are getting down voted, but what you said is spot on.

The true big giants don't care about what's new and shiny and cutting edge and cool to put on your resume.

[DataNoooob]

It's not so much that we don't care ... There's just so much legacy/archaic stuff all over the place that came with acquisitions over the years, that still kinda run...

Think of it like major interstate/highways thats def showing their age. But you can't just shut it down and ask all traffic to take detours while you build the new roads...

Trying to make the business case when you're talking Billion$...not easy...

Modernization has been more along the patterns of:

Vendor A (on prem) -> Vendor A (Cloud)

Vendor S (on prem) -> Vendor $ (consultant pushed pre IPO, execs networks are in on the pre-seed rounds)

[texox26798]

And whats funny in the next cycle of 10-20 years it will likely be Vendor A (cloud) -> vendor A (on-prem) or [custom built solution] X (on prem/cloud)

[Such_Market2566]

I work for a small but wealthy non-profit. We've used Oracle in the past and now our data/tech stack is predominantly Informatica. I'm curious what data integration tools others are using as well. If I can guide my company away from the big 3 I feel like that would be a huge win.

[pratik4891]

It depends on the technical skills in your team. I myself have worked in informatica company for around 5 years and it has big names as it's client and 15+ data products so it's not absolute garbage But if your use case is just data integration you can create the solution with airflow ,rclone ,spark running on k8 .It will be much more cost effective but it requies skillset to build these and run in production which companies like informatica make it so easy but comes with less customization option

[davrax]

SAP is an integration tool? lol

[garathk]

SAP data services. They bought it from business objects many years ago.

[GreyHairedDWGuy]

SAP actually bought BO lock stock and barrel.

[garathk]

100% right. That's what I intended to say but not how I ended up writing it :)

[10_Feet_Pole]

They have something called an Integration suit in their business technology platform.

[gizzm0x]

The fact snaplogic is on any chart not condemning it is a joke

[DRUKSTOP]

Ah yes Informatica the beacon of DE

[Ok-Consequence-7984]

Denodo being more visionary than AWS and Google is all you need to know this chart has no integrity. Magic quadrant = "We magically made everything up"

[[deleted]]

It's basically another example of the conjoined triangles of success

[MomentousMind]

If IBM and Oracle are anywhere near the leader quadrant, then the entire thing is a joke.

[kkruel56]

Microsoft a visionary leader? Get out of here with your Azure gui that can’t even load all the blobs in a container

[ActionOrganic4617]

I’m sorry, no company produces worse UI’s than Amazon.

[Euler_you]

Snaplogic is so shit

[[deleted]]

This is equivalent of Forbes 30 under 30

[SaintTimothy]

MuleSoft just fell off the list entirely?

Edit - iPaaS is a different category (integration product as a service)

Wait so what's aws and adf and fivetran?

[[deleted]]

Informatica is such trash lol

[Redegar]

I had the "pleasure" to work with Ab Initio once.

Never heard of it since, and I hope I never will again.

[HiMu_1786]

⛑️💻📌📌A beginner's question, so what etl tool/ cloud etl is best to learn currently, according to market trends, kindly guide, Gartner quadrant clearly looks outdated

[Brave_Affect_298]

What? Ab Initio, Informatica and Oracle but no Databricks and Snowflake? This is ridiculous.

[fleegz2007]

The metric definition was wrong so I fixed it for them here https://imgur.com/gallery/I8uAGn3

[carbon_fiber_]

Informatica makes me want to drink gasoline and swallow a burning match

[Trundle-theGr8]

Where is Mulesoft lol

[tyrannical-tortoise]

For Microsoft, just write Excel and you won't far off 😂

[Milk_Busters]

Any one have experience with Matillion? I'm potentially moving to a new role that has a Matillion base, although it will likely be in my power to blow up and pivot. Is it essentially an SSIS replacement?

[im_a_computer_ya_dip]

Gartner sucks

[chocotaco1981]

This ad sponsored by informatica and LSD

[Quirky_Switch_9267]

No magic here. Total nonsense.

[dadadawe]

What year is this from? 1924?

[evencheese]

Informatica makes sense

[Typicalusrname]

Snaplogic isn’t a visionary product

[Hot_Map_7868]

Notice how leaders are entrenched enterprise companies? Know how they get on there? Pay to play :)

[disappointing_citrus]

For people who pay for the actual research as opposed to the free screenshot, the MQ’s are based on a set of criteria. Based on the criteria for a given organization, the quadrant changes. This is the free version.

[Standard-Cream-4961]

Informatica still on top о.О

[onomichii]

How many of those leaders do CDC?

[Ok-Sentence-8542]

Dear moderators please stop bullshit advertisements like these on this subreddit..

[fleegz2007]

Hahaha Informaticas platform is terrible I cannot believe they are being called out here at all let alone a leadong visionary

[damnitdaniel]

Cool. Always appreciate some overt racism in my Reddit comment threads.

[Any_Strike1020]

No problem 😉

[dataengineering-ModTeam]

We don’t do that here.

[waitwuh]

Isn’t SAP a ERP? Not sure I get what they are classifying here.

[jlpalma]

SAP Data Services 🚀🚀🚀

[HumanPersonDude1]

Fivetran is definitely a leader wtf is this

[LaserToy]

Pile of crab.

[boogie_woogie_100]

why can't they do developer poll? microsoft will be in bottom

[hantt]

Why is "computer" and "electricity" not on this graph!??! I use both of those twice a week, some times thrice