aws bedrock alternatives reddit

Alternatives to AWS bedrock without the rate limits ?

reddit.com › r › aws › comments › 1ldzgs7 › alternatives_to_aws_bedrock_without_the_rate

Deploy a foundational model with SageMaker jumpstart. Be aware you will pay provisioned prices for the sagemaker instance (may be cheaper if you have a good resource utilisation). In regards to GDPR: you can deploy the SageMaker instance into a region of your choice. Data remains in the region and AWS does not use your inference data to train the models further. For the fine print check the AWS statement towards GDPR Answer from rap3 on reddit.com

reddit.com › r/aws › alternatives to aws bedrock without the rate limits ?

r/aws on Reddit: Alternatives to AWS bedrock without the rate limits ?

January 8, 2025 -

Hey guys, I’m currently using AWS bedrock to host my AI for my business (UK) but I’m getting rate limits and they’re being extremely slow to respond. I need a GDPR compliant alternative, what’s the best solution where I wouldn’t be rate limited ? Need to parse long text documents with it on a scale of around every 10 seconds for a day or two, then on a request basis after that.ideally looking for a solution that’s not crazy expensive, if possible. I’ve seen azure seems like a decent alternative, I’m curious how well it would handle such volume of requests? Would I be waiting on red tape like with AWS ? I’ve considered sageMaker but it seems expensive. Thank you for your time

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GDPR compliant? I doubt any vendor can promise you that.

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I imagine getting a support request put in to get your limits raised to a sustainable place is going to be the lowest effort option compared to porting your workflow somewhere else, assuming you're okay with Bedrock's cost and whatever the highest they're willing to raise your limits is. AWS is usually perfectly willing to raise a lot of service limits, they just set sane defaults that work for most people.

reddit.com › r/n8n › need a replacement for aws bedrock

r/n8n on Reddit: Need a replacement for AWS bedrock

June 17, 2025 -

Hey guys, I’m currently using AWS bedrock to host my AI for my business (UK) but I’m getting rate limits and they’re being extremely slow to respond. I need a GDPR compliant alternative, what’s the best solution where I wouldn’t be rate limited ? Need to parse long text documents with it on a scale of around every 10 seconds for a day or two, then on a request basis after that.ideally looking for a solution that’s not crazy expensive, if possible, Thank you !

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Have you checked out Azure OpenAI as they also have strict GDPR compliance and Offers GPT-4, GPT-4 Turbo. Higher limits than Bedrock - Don't have exact numbers though.

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Internet Computer (ICP coin). If they don't have it yet they're working on it. Ask the community but it's the alternative to hotel California for your data, and unhackable.

reddit.com › r/llmdevs › seeking advice on amazon bedrock and azure

r/LLMDevs on Reddit: Seeking Advice on Amazon Bedrock and Azure

January 14, 2025 -

Hello everyone. I’m currently exploring AI infrastructure and platform for a new project and I’m trying to decide between Amazon Bedrock and Azure (AI Infrastructure & AI Studio). I’ve been considering both but would love to hear about your real-world experiences with them.

Has anyone used Amazon Bedrock or Azure AI Infrastructure and Azure AI Studio? How would you compare the two in terms of ease of use, performance, and overall flexibility? Are there specific features from either platform that stood out to you, or particular use cases where one was clearly better than the other?

Any advice or insights would be greatly appreciated. Thanks in advance!

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Last I checked their pricing and model selection is roughly equivalent. Amazon's own generative models are a generation or two behind, if that matters. That said, I'm assuming you're asking about Bedrock and Azure specifically because they offer a variety of models, dedicated instances, etc. With that in mind, I'd like to answer your question directly, but IMO it's more about being able to easily evaluate and find the right model. Every project I've done so far has benefitted from being able to easily try different models from different providers. It comes down to screwing around with client libraries. So, If you've got the resources and the latitude, my advice is to sign up for all the services with a small budget for testing each, and prototype with a good OpenAI client library alongside a LiteLLM proxy so you can switch between them as you wish. If you find one provider that nails it, then you can bother with the provider's dedicated client library, etc. LiteLLM also has a bunch of built-in features that can be handy for cost control, team access, etc. I will say I've only used it for prototyping and never in production. If running LiteLLM is problematic, there are SaaS equivalents to LiteLLM, reselling tokens with an OpenAI interface, but I've not tried any of them. If you've really got to choose one of the two for whatever reason, then you're essentially making a bet on whether or not you'll end up satisfied with OpenAI or Anthropic models. If neither of them are on the table and you think you'll be using open models, then go with whichever of AWS or Azure is used at your employer, because they both support all the big ones.

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I’ve been playing with Amazon’s new Nova models lately, and I’ve been impressed. The price is good too.

reddit.com › r/azure › azure equivalent to aws bedrock knowledge base?

r/AZURE on Reddit: Azure equivalent to AWS bedrock knowledge base?

March 21, 2024 -

What is Azure’s version for quickly setting up a RAG chat system? With AWS it seems pretty straight forward being able to drop your documents in S3.

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Azure OpenAI "On Your Data" https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/use-your-data?tabs=ai-search However AWS Bedrock looks much more sophisticated and useful in comparison currently.

reddit.com › r/aws › bedrock vs textract

r/aws on Reddit: Bedrock vs Textract

July 9, 2024 -

Hi all, lately I have several projects where I need to extracr text from images or pdf.

I usually use Amazon Textract because it's the desicated OCR service. But now I'm experimenting with Amazon Bedrock and also using cheap FM like Claude 3 Haiku I can extract the text very easily. Thank to the prompt I can also query only the text that I need without too manu elaborations.

What do you think of this? Do you see pros or cons? Have you ever faced a similar situation?

Thanks

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I did use both at production scale! It’s the decision between accuracy of textract vs Claude models. Textract provides confidence score to make the programmatic decision where in llms doesn’t! And if you have large scale of data and you are okay with 10% of errors(depends on the doc clarity and other factors) in your llms extractions, you would save a lot by using llms instead of textract!

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I have never used Bedrock, but I have familiarity and experience with Textract. And what I can say is that Textract is damn expensive. There are many open-source tools that do the same thing as Textract these days (especially with the boom in Generative AI). I would try to find some third-party open-source lib to extract texts from PDFs and images. It would drastically reduce the costs of my architecture, especially if there are a large number of files and texts to be extracted.

reddit.com › r/machinelearning › [d] difference between groq and aws bedrock?

r/MachineLearning on Reddit: [D] Difference between Groq and AWS Bedrock?

October 5, 2024 -

I was looking into AWS Bedrock for a client requirement and I can't really understand how is it different from Groq? Both provide open source models..?

I understand that AWS Bedrock has some additional feature like image generation... but is it same from the perspective of text generation?

If yes, then why the exorbitant price?

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Bedrock makes sense if You are already in the aws ecosystem and don’t want to manage multiple service providers. They basically are just like an LLM broker

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Bedrock as a LOT of different features. It basically has a few different components: hosting open source and some closed source models (e.g. Amazon Titan) finetuning, hosting private models, direct integration with AWS S3 and IAM for data hosting and security built-in evaluation and benchmark datasets monitoring, integration with AWS CloudWatch and CloudTrail, logging prompts and answers Guardrails for managing, well, guardrails for generation, integrated with monitoring Knowledge Bases, basically a serverless, fully managed RAG (by default based on AWS OpenSearch Serverless), with lots of integrations (files on S3 and connectors to e.g. Confluence) Agents for building whole agent apps, integrated with e.g. AWS Lambda (running short serverless functions); also integrated with whole prompt flows, so that you can chain them integrated with Amazon Q, with which you can build and host chatbots based on your models all AWS certifications and compliance features, which may be necessary for some clients "Exorbitant price" depends on what you need. If you host a private copy of a model or something customized in general, you need the provisioned throughput mode, which also guarantees you a certain SLA. Also note that price depends on a region. In short, if you want AWS and all the enterprise features (in particular security and auditing), go for it. Otherwise there may be easier to use solutions.

G2

g2.com › products › aws-bedrock › competitors › alternatives

Top 10 AWS Bedrock Alternatives & Competitors in 2025 | G2

Explore the best alternatives to ... alternatives to AWS Bedrock include security. The best overall AWS Bedrock alternative is Vertex AI....

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Slashdot

slashdot.org › software › p › Amazon-Bedrock › alternatives

Top Amazon Bedrock Alternatives in 2025

Supernovas AI serves as a comprehensive, team-oriented AI workspace that grants users uninterrupted access to all major LLMs, such as GPT-4.1/4.5 Turbo, Claude Haiku/Sonnet/Opus, Gemini 2.5 Pro/Pro, Azure OpenAI, AWS Bedrock, Mistral, Meta LLaMA, ...

Rating: 4.5 - 79 votes

reddit.com › r/aws › sagemaker vs bedrock

r/aws on Reddit: Sagemaker vs Bedrock

March 10, 2025 -

What are your pros to using Sagemaker? Seems to me that it’s a little dead whereas bedrock is the future due to it’s ease of use and flexibility specially for getting to use something that’s already “built”

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They are totally different products? SageMaker is a data science environment and has labeling tools like ground truth and model hosting cababilities. Bedrock is an LLM environment where you can build Knowledge bases and agent pipelines and such.

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You are comparing apples to oranges. Sagemaker lets you build the models, bedrock provides interaction with already built models. Obviously an oversimplification but these are in two different categories

Find elsewhere

Google Bing Mojeek

reddit.com › r/aws › is there really no better option than bedrock?

Is there really no better option than Bedrock? : r/aws

May 25, 2025 - News, articles and tools covering ... was deleted by the person who originally posted it. Share ... If you don't like Bedrock Agents, you should try Strands SDK....

TrustRadius

trustradius.com › home › ai development platforms › amazon bedrock › competitors and alternatives

Top Amazon Bedrock Alternatives & Competitors in 2025

Looking for alternatives to Amazon Bedrock? Find out how it stacks up against competitors with real reviews, pricing details, features, and more.

reddit.com › r/aws › unpopular/under rated services

r/aws on Reddit: Unpopular/under rated services

March 17, 2024 -

As per title. What are some aws services you think are under rated and not used that often by businesses?

I work in the enterprise space so it’s very much typical like vpc, ec2, iam, cloudwatch, rds, s3, ecs, eks etc

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I think the Chime SDK is underappreciated. Most people don't know it exists because it gets conflated with the Chime app. (As always, AWS is terrible at naming and branding services.) The Chime SDK is the tech that powers Chime, and you can use it for your own applications. Apparently Slack uses it for their AV capabilities. My company has a live tech support screenshare functionality built into our iOS app. After being jerked around by screenshare companies for years, we finally rolled our own using Chime SDK. It was relatively easy, super cheap, and rock solid.

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Infinidash, underrated for sure

reddit.com › r/aws › amazon bedrock is ga

r/aws on Reddit: Amazon Bedrock is GA

September 28, 2023 -

https://aws.amazon.com/bedrock/

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I've had access for a few weeks, I haven't built anything substantial with it but I've had a chance to play with the models and explore the functionality. I couldn't find a good use for it, at least for my use cases. The serverless pricing for the collection of base models is vaguely useful, as a simpler alternative to using the providers' APIs individually, and there might be some cost advantages when billing through AWS for some customers. I did run into some limitations going through Bedrock, such as a smaller context limit with Claude (checking back now this seems to be fixed though). You can fine-tune the AWS model (Titan), but you switch to paying Sagemaker prices, and you don't get access to the weights. I'd rather avoid vendor lock-in, especially in an area moving as fast as this, so I've been focusing on the open source LLM space instead, with Sagemaker or EC2. The SDXL model is far too limited for much beyond the most basic uses. You get access to the parameters in the Stability.ai REST API , but you're still limited to simple text and image prompts, there's no way to use ControlNet or LoRAs or anything like that. The main value I can see in Bedrock is in having the main functionality of a bunch of models collected together in one API. It seems like a useful tool for teams to try out some basic techniques across a selection of different models without needing to change their code too much. If you're already using AWS for the rest of your stack, and you just need some basic LLM or image generation functionality, then it might be a good fit.

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In case any JS folks are interested, I'm working on a simple Node API wrapper for this service: https://www.npmjs.com/package/bedrock-node-api

reddit.com › r/mlops › which platform is easiest to set up for aws bedrock for llm observability, tracing, and evaluation?

r/mlops on Reddit: which platform is easiest to set up for aws bedrock for LLM observability, tracing, and evaluation?

November 1, 2025 -

i used to use the langsmith with openai before but rn im changing to use models from bedrock to trace what are the better alternatives?? I’m finding that setting up LangSmith for non-openai providers feels a bit overwhelming...type of giving complex things...so yeah any better recommendations for easier setup with bedrock??

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I’ve been playing with LangFuse lately and really like it. I’m planning on implementing it along with LiteLLM as an AI gateway so we can do model fallbacks with Bedrock, as well as tracing into LangFuse, but you can also decorate your Bedrock SDK calls with a LangFuse decorator to directly trace the request: https://langfuse.com/integrations/model-providers/amazon-bedrock

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Check out monocle2ai from Linux foundation that captures traces and has native support for bedrock. You can send the traces to S3 or analyze them in VS Code IDE or a cloud portal provided by Okahu.

BytePlus

byteplus.com › en › topic › 450359

Best AWS Bedrock Alternatives for Pricing Model: Cost-Effective AI Solutions

In this post, we’ll explore practical, budget-friendly alternatives to AWS Bedrock, focusing on pricing models that make sense for individual developers and SMBs.

Medium

medium.com › @kaushikvikas › amazon-bedrock-vs-8a58059026da

Amazon Bedrock vs. Google Vertex AI vs. Microsoft Azure Cognitive Services: A Battle for Generative AI Supremacy | by Vikas | Medium

May 1, 2024 - This article dives into a detailed comparison of Amazon Bedrock, Google Vertex AI, and Microsoft Azure Cognitive Services, analyzing their strengths, weaknesses, ideal use cases, and diving deeper into specific features.

Gartner

gartner.com › reviews › market › generative-ai-model-providers › vendor › amazon-web-services › product › amazon-bedrock › alternatives

Top Amazon Bedrock Competitors & Alternatives 2025 | Gartner Peer Insights

Learn more about the top Amazon Bedrock competitors and alternatives. Read the latest reviews and find the best Generative AI Model Providers software.

BytePlus

byteplus.com › en › topic › 450356

Best AWS Bedrock Alternatives for Overcoming Technological Limitations

Google Cloud Vertex AI emerges as a powerful alternative, providing: ... Developers appreciate Vertex AI's ability to overcome many of AWS Bedrock's technological constraints, offering a more dynamic approach to AI model development and deployment.

BytePlus

byteplus.com › en › topic › 453599

Best AWS alternatives for Bedrock AI agent

Explore the best AWS alternatives for Bedrock AI agent to power your AI-driven applications. Compare top platforms like Microsoft Azure AI, Google Cloud AI, OpenAI API, Hugging Face Infinity, and IBM Watson AI for cost efficiency, flexibility, and specialized AI features tailored to developers ...

reddit.com › r/datascience › seeking advice on amazon bedrock and azure

r/datascience on Reddit: Seeking Advice on Amazon Bedrock and Azure

November 5, 2024 -

Hello everyone. I’m currently exploring AI infrastructure and platform for a new project and I’m trying to decide between Amazon Bedrock and Azure (AI Infrastructure & AI Studio). I’ve been considering both but would love to hear about your real-world experiences with them.

Has anyone used Amazon Bedrock or Azure AI Infrastructure and Azure AI Studio? How would you compare the two in terms of ease of use, performance, and overall flexibility? Are there specific features from either platform that stood out to you, or particular use cases where one was clearly better than the other?

Any advice or insights would be greatly appreciated. Thanks in advance!

I use Sagemaker and Bedrock exclusively! The difference between the two I think will be what business outcome you are trying to achieve. If it’s just for personal use I think either one is fine, it will just come down to costs. AWS has been a very intuitive platform, every tool you could imagine is there with so much free online learning of their services.