Alternatives to Guild AI
Compare Guild AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Guild AI in 2026. Compare features, ratings, user reviews, pricing, and more from Guild AI competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
3
Pragma
Pragma
Pragma is a powerful backend game engine designed to support live-service games with a full suite of online infrastructure. It provides seamless cross-platform account management, allowing players to connect and interact across different gaming ecosystems. The engine enhances social experiences by enabling friend systems, guilds, and in-game events. For multiplayer functionality, Pragma efficiently handles party systems, matchmaking, and server allocation. It also includes robust player data management, covering inventories, progression systems, and battle passes, along with tools for configuring in-game content, stores, and meta-game features. With built-in support for live operations, monetization, telemetry, and extensive customization, Pragma empowers developers to create scalable and engaging online experiences. -
4
TensorFlow
TensorFlow
An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.Starting Price: Free -
5
Keepsake
Replicate
Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.Starting Price: Free -
6
Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence. -
7
Guild Jeweler
Guild Jeweler Software Solutions
Our installation and training process has been designed to get your store started on the right foot. Our desire is that your transition to the Guild Jeweler system will be smooth, that your network setup will be stable and efficient, and that your employees will be prepared to use the Guild Jeweler system for important, everyday tasks. Before the training process can begin, a Guild representative will work with you to ensure the stability and efficiency of your store network. This process may take little to no time at all, if you have carefully prepared the network in advance. However, if you would rather leave the network setup entirely to us, we are willing to take the time necessary to provide and configure your hardware. The entire training process should take 3-4 days total. After your training session is complete, the Guild team will continue to offer you support by phone and internet. Just remember, no problem is too big or too small. We’re here to help. -
8
Determined AI
Determined AI
Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure. -
9
neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
10
Comet
Comet
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.Starting Price: $179 per user per month -
11
CreativeGuild
CreativeMornings
For the past 9.5 years, CreativeMornings has been changing the way the creative world connects with one another, by bringing together people who are driven by passion and purpose. Our monthly events are filled with big-hearted humans who support one another and are collectively raising the bar on what it means to be creative. With the launch of the CreativeGuild, we are taking this powerful community online, translating our IRL community values to an online network, and expanding the possibilities for connection, beyond our monthly events. The CreativeGuild is a membership-based online network for creative companies and individuals. Key features include company pages that not only highlight a company’s work but showcase their personality, a global job board where members can post unlimited job postings, and (coming soon) an inspiration feed you can filter and curate to your own tastes as a user.Starting Price: $8 per month -
12
TensorBoard
Tensorflow
TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.Starting Price: Free -
13
DVC
iterative.ai
Data Version Control (DVC) is an open source version control system tailored for data science and machine learning projects. It offers a Git-like experience to organize data, models, and experiments, enabling users to manage and version images, audio, video, and text files in storage, and to structure their machine learning modeling process into a reproducible workflow. DVC integrates seamlessly with existing software engineering tools, allowing teams to define any aspect of their machine learning projects, data and model versions, pipelines, and experiments, in human-readable metafiles. This approach facilitates the use of best practices and established engineering toolsets, reducing the gap between data science and software engineering. By leveraging Git, DVC enables versioning and sharing of entire machine learning projects, including source code, configurations, parameters, metrics, data assets, and processes, by committing DVC metafiles as placeholders. -
14
Azure Machine Learning
Microsoft
Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R. -
15
DittoDub
DittoDub
DittoDub is an AI-driven dubbing platform that maximizes content reach by automatically translating and voicing videos in up to 38 languages, using custom vocabularies and an intuitive dubbing editor to preserve tone and context. It transforms source videos into native experiences with synchronized subtitles, metadata, and thumbnail translations, and leverages a recommendation engine optimized by launching with 20–30 videos. Case studies show explosive growth, channels like Dr. Sten Ekberg and Topper Guild saw subscriber increases from millions to tens of millions, and engagement jumped over 120%. Setup is simple; users upload content, customize vocabulary, and export polished, multilingual videos without complex workflows. The service integrates seamlessly into existing processes to deepen audience connection and drive international engagement.Starting Price: $97 per month -
16
Guild
Guild
Guild is a platform for professional communities and networking. It's easy to use and mobile-first, like a consumer messaging app, but purpose-built for professionals and businesses: Ad-free, privacy by design, custom-branded, with admin and analytics. Elegant user experience - simple, elegant design; mobile-first; service and support; custom branding. High levels of professional conduct - moderation features; professional profiles so users are `present`, accountable and can connect with others. Data protection - GDPR compliant, you control your data.Starting Price: $0 -
17
Aim
AimStack
Aim logs all your AI metadata (experiments, prompts, etc) enables a UI to compare & observe them and SDK to query them programmatically. Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions. -
18
MLflow
MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects. -
19
Polyaxon
Polyaxon
A Platform for reproducible and scalable Machine Learning and Deep Learning applications. Learn more about the suite of features and products that underpin today's most innovative platform for managing data science workflows. Polyaxon provides an interactive workspace with notebooks, tensorboards, visualizations,and dashboards. Collaborate with the rest of your team, share and compare experiments and results. Reproducible results with a built-in version control for code and experiments. Deploy Polyaxon in the cloud, on-premises or in hybrid environments, including single laptop, container management platforms, or on Kubernetes. Spin up or down, add more nodes, add more GPUs, and expand storage. -
20
Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.
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21
DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
22
Squads
Squads
DeFi protocols and NFT communities can register their token with Squads to allow their holders to participate in governance via proposals and on-chain voting. Core proposal functionality goes to mainnet first to allow NFT communities to initiate proposals and set up on-chain voting. All the DAO primitives (deployment, voting and treasury) in one simple interface are coming to devnet. Expanded Vault functionality with treasury management components. Just spin up a Squad in a few clicks to run your internal governance or just use Squads as a multisig. Create a Squad to hold in-game assets jointly and manage your guild via on-chain proposals. -
23
HoneyHive
HoneyHive
AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management. -
24
Guild Education
Guild
The Guild Platform was designed with a student-centered philosophy and a systems-thinking approach in order to empower all employees, drive meaningful business outcomes, and streamline administration. We customize our learning marketplace to align with your strategic career pathways. High-value academic institutions that are hand-selected for working adults and optimized for online and mobile learning. Programs specifically selected with a high threshold of learner completion rates. Our payment technology reduces friction and administrative burdens for both learners and employers. Technology that simplifies direct payments between employers and learning providers. Seamless data integration to verify and manage employee eligibility, invoicing, and compliance. Complete benefits administration to reduce employer burden. Our dedicated coaches support employees through their learning journeys and career pathways. -
25
GuildQuality
GuildQuality
Customer satisfaction surveying, performance reporting, and marketing for quality-minded home builders, remodelers, and service providers. GuildQuality is built for and trusted by the quality-driven. For nearly two decades, over 15,000 home builders, remodelers, and home service providers have trusted our services to ensure excellence and continuous growth. We can do the same for you, too. Actionable customer feedback is one of the best tools to understand and grow your business. Get in front of problems before they arise and help your team be their best. Promote your commitment to exceptional customer service to targeted homeowners. Connect with the highest-quality leads and generate more business. Ensure a high response rate and consistent professionalism with proactive outreach and a dedicated team of survey professionals.Starting Price: $100 per month -
26
BitDegree
BitDegree
BitDegree is a gamified platform where users can gain Web3 skills while earning various rewards. In its learn-to-earn model, players complete Missions – interactive micro-tasks – to unlock exclusive prizes such as tokens, stablecoins, NFTs, and even merchandise from top crypto brands. Completing each Mission also earns special points called Bits, which increase the chance of winning prizes. Missions aren't just simple quizzes – they're packed with valuable content on everything from blockchain basics to top crypto products. Players are free to use all the provided info to find the answers they need – as long as they do that within a set time limit. They can even build their own Missions or create communities, called Guilds, to help others learn about the Web3 ecosystem. Plus, BitDegree offers referral rewards, giving both referrers and their friends extra Bits for helping the community grow.Starting Price: $0 -
27
Zigzag App
Zigzag App
Zigzag is a mobile and web-based app exclusively dedicated to puppy training, offering a structured program of bite-sized lessons tailored to each puppy’s breed, age, and personality. Led by certified trainers and backed by leading behavioral organizations, it delivers science-based modules covering foundational skills, body language, impulse control, alone time, biting, barking, and critical life stages like adolescence and socialization. Users receive a personalized training plan, automated reminders, and seven-day-a-week expert support for puppy emergencies. Its intuitive interface organizes content into a comprehensive learning library, while integrated video tutorials, interactive quizzes, and on-demand messaging ensure engaging, efficient progress. Endorsements from bodies such as the APDT, CAPBT, the Pet Professional Guild, and others underscore its evidence-based approach.Starting Price: Free -
28
Cloud Storage Manager
SmiKar Software
Azure storage consumption is growing at an incredible pace, even faster than originally predicted. Organizations have an ever-growing data footprint and are therefore eager to take advantage of Azure and it’s limitless supply of storage and resources. However, as an organization’s storage requirements grow, it’s easy to lose track of where all the storage is being consumed, which also means the Azure storage cost keeps going up often causing cost blowout. With Cloud Storage Manager you will be able to instantly see where all your storage is going, allowing you to take back control and save money. Cloud Storage Manager provides you with an Azure Explorer like view of all your Azure Blobs and what resides in your Azure Files. From this view you can see details of each individual Blob, including Blob size, date the Azure Blob was created and last modified, as well as what Storage Tiering the Blob currently is in.Starting Price: $500 -
29
ClearML
ClearML
ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.Starting Price: $15 -
30
Symantec Cloud Workload Protection
Broadcom
Many applications and services running in public clouds use Amazon S3 buckets and Azure Blob storage. Over time, storage can become contaminated with malware, misconfigured buckets can allow data breaches, and unclassified sensitive data can result in compliance violations and fines. CWP for Storage automatically discovers and scans Amazon S3 buckets and Azure Blobs to keep cloud storage clean and secure. CWP for Storage DLP applies Symantec DLP policy to Amazon S3 to discover and classify sensitive information. AWS Tags can be applied as needed for remediation and further actions in time. Cloud security posture management (CSPM) for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Containers improve agility, however they also bring public cloud security challenges and vulnerabilities that increase risk. -
31
LaborPower
Working Systems
LaborPower® is our flagship software that powers 500+ union offices throughout North America including IBEW, AFSCME, ATU, CWA, NALC, SEIU, UA, UAW, SAG, Writers Guild, MMP, MEBA, IBB, ILWU, and helps manage >1m union members. LaborPower® is a secure, Windows-powered desktop application that will enable your office to record and manage all data related to your members, contracts, grievances, employers and more. LaborPower® Express is the official IBEW membership and dues tracking software program created by a collaboration between the IBEW International Office and Working Systems Cooperative and replaces the previous version, ICS-Windows. Working Systems Cooperative has deployed 150+ highly customizable websites which integrate seamlessly with the LaborPower® database, and easily allow your members to pay dues, update their information, sign out-of-work lists, bid for jobs, and more. We work with you to determine which features to include, and how they are presented to your members. -
32
lakeFS
Treeverse
lakeFS enables you to manage your data lake the way you manage your code. Run parallel pipelines for experimentation and CI/CD for your data. Simplifying the lives of engineers, data scientists and analysts who are transforming the world with data. lakeFS is an open source platform that delivers resilience and manageability to object-storage based data lakes. With lakeFS you can build repeatable, atomic and versioned data lake operations, from complex ETL jobs to data science and analytics. lakeFS supports AWS S3, Azure Blob Storage and Google Cloud Storage (GCS) as its underlying storage service. It is API compatible with S3 and works seamlessly with all modern data frameworks such as Spark, Hive, AWS Athena, Presto, etc. lakeFS provides a Git-like branching and committing model that scales to exabytes of data by utilizing S3, GCS, or Azure Blob for storage. -
33
DAOhaus
DAOhaus
DAOs give direct power to the people. Join us in pioneering a future where magic internet communities unlock the power of human-centric coordination. The first major use of DAOs has been through community grants! Millions have been raised and distributed to early developers of this technology. The DAOhaus project is a prime example of a project based DAO. Every community initiative can now become a funded reality. Get your friends together and put your money where your mouth is! Clubs are culture machines, and DAOhaus is flexible enough to keep the party going. Guilds have re-emerged as a powerful collective force. Some even have members who quit their day jobs to work for a DAO. Proposals can be used for all types of decisions like distributing funds, allocating shares, and even interacting with other applications and communities. Get the alpha while it's still alpha. -
34
Median Cobrowse
Median
Turn your customers into Raving Fans with Screen Share enabled support. Reduce support time up to 82% in minutes. Increase customer satisfaction with real time resolution. Transform your support team into a profit center. Providing support is easy when you can see what your customers see and can guild them to a solution. With Median, you can watch any of your website visitors interact with your website in real time. If someone has an issue simply join their session, put your mouse on their screen, and show them the way. Save years of support time, stop asking customers to describe their problems, and prevent future support request with one click screen share. Get Started Free To make it even easier, Median is fully integrated with 12 of the most popular chat tools available. Go from chat to screen share with the click of a button. Easy, Interactive, screen share is just a click away when the Median code is installed on your website.Starting Price: $50 per month -
35
Visdom
Meta
Visdom is a visualization tool that generates rich visualizations of live data to help researchers and developers stay on top of their scientific experiments that are run on remote servers. Visualizations in Visdom can be viewed in browsers and easily shared with others. Visdom provides an interactive visualization tool that supports scientific experimentation. Visualizations of plots, images, and text can be easily broadcast for yourself and collaborators. The visualization space can be organized through the Visdom UI or programmatically, allowing researchers and developers to inspect experiment results across multiple projects and debug code. Features like windows, environments, states, filters, and views also provide multiple ways to view and organize important experimental data. Build and customize visualizations for your projects. -
36
Intel Geti
Intel
Intel® Geti™ software simplifies the process of building computer vision models by enabling fast, accurate data annotation and training. With capabilities like smart annotations, active learning, and task chaining, users can create models for classification, object detection, and anomaly detection without writing additional code. The platform also provides built-in optimizations, hyperparameter tuning, and production-ready models optimized for Intel’s OpenVINO™ toolkit. Designed to support collaboration, Geti™ helps teams streamline model development, from data labeling to model deployment. -
37
Azure Blob Storage
Microsoft
Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning. Azure Blob Storage helps you create data lakes for your analytics needs, and provides storage to build powerful cloud-native and mobile apps. Optimize costs with tiered storage for your long-term data, and flexibly scale up for high-performance computing and machine learning workloads. Blob storage is built from the ground up to support the scale, security, and availability needs of mobile, web, and cloud-native application developers. Use it as a cornerstone for serverless architectures such as Azure Functions. Blob storage supports the most popular development frameworks, including Java, .NET, Python, and Node.js, and is the only cloud storage service that offers a premium, SSD-based object storage tier for low-latency and interactive scenarios.Starting Price: $0.00099 -
38
Neum AI
Neum AI
No one wants their AI to respond with out-of-date information to a customer. Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud. -
39
Cribl Search
Cribl
Cribl Search delivers next-generation search-in-place technology, empowering users to explore, discover, and analyze data that was previously impossible – directly at its source, across any cloud, even data locked behind APIs. Effortlessly search your Cribl Lake or sift through data in major object stores like AWS S3, Amazon Security Lake, Azure Blob, and Google Cloud Storage, and enrich your insights by querying dozens of live API endpoints from various SaaS providers. The power of Cribl Search lies in its strategic approach: forward only the critical data to your systems of analysis, thus avoiding the cost of expensive storage. With native support for platforms such as Amazon Security Lake, AWS S3, Azure Blob, and Google Cloud Storage, Cribl Search delivers a first-of-its-kind ability to seamlessly analyze all data right at its source. Cribl Search allows users to search and analyze data wherever it is located, from debug logs at the edge to archived data in cold storage. -
40
Azure FXT Edge Filer
Microsoft
Create cloud-integrated hybrid storage that works with your existing network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance optimizes access to data in your datacenter, in Azure, or across a wide-area network (WAN). A combination of software and hardware, Microsoft Azure FXT Edge Filer delivers high throughput and low latency for hybrid storage infrastructure supporting high-performance computing (HPC) workloads.Scale-out clustering provides non-disruptive NAS performance scaling. Join up to 24 FXT nodes per cluster to scale to millions of IOPS and hundreds of GB/s. When you need performance and scale in file-based workloads, Azure FXT Edge Filer keeps your data on the fastest path to processing resources. Managing data storage is easy with Azure FXT Edge Filer. Shift aging data to Azure Blob Storage to keep it easily accessible with minimal latency. Balance on-premises and cloud storage. -
41
Get high-speed, storage-efficient backup and restore for SQL Server databases, with up to 85 percent savings in backup size and duration compared to competing solutions. LiteSpeed for SQL Server makes it possible, with minimal effort and risk. Ensure the correct SQL Server data is restored and available as quickly as possible with a wide variety of backup and recovery options. Integrate directly with Microsoft Azure Blob storage and Amazon S3, as well as ISM TSM, for cloud-based backup and restore with on-premises and virtualized cloud SQL Servers. Achieve dramatic reductions in SQL Server backup/restore times and storage costs. Choose the best combination of CPU resource utilization and backup storage size reduction for your environment with eight compression levels. Save time managing and monitoring your SQL Server backup and recovery. Define, schedule and manage all your backup and recovery jobs from one central location.
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42
S3 Drive
Callback Technologies
3 Drive connects to any standard S3 cloud data store, enabling you to work virtually with cloud files as if they are right on your local file system. Access, update, edit, and save files stored in any storage service compatible with the S3 API, such as: Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage, IBM Cloud Object Storage, MinIO, Backblaze B2, Wasabi, DigitalOcean, and more. S3 Drive adds a local cache layer on top of the S3 API, saving files locally and uploading them automatically - so you don’t have to upload and download files each time. Powerful Capabilities: - Store multiple connection profiles for a quick, convenient connection. - S3 Drive offers FIPS mode. - Run S3 Drive as a Windows service or desktop application. - Use S3 Drive as a Desktop application or from the command line. - S3 Drive supports Windows Arm64. - Available for Windows, Linux, and macOS. S3 Drive is trusted by the biggest technology companies in the world.Starting Price: $79 -
43
Dell EMC Intelligent Data Mobility
Dell Technologies
Intelligent Data Mobility provides customers with the flexibility, simplicity and efficiency to manage seamless workloads and data migration by using technology, automation and Dell EMC expertise. Intelligent Data Mobility follows a standardized methodology to minimize the time and expense of onboarding new storage. Our methodology is built around three pillars, discovery, planning and execution. It’s a straight forward, highly repeatable and vendor and platform-agnostic approach. Reduce time, cost and complexity of your data migration. Accelerate time-to-value on new storage. Focus on your business while Dell EMC experts migrate your data. Take advantage of Dell EMC’s proven, standardized and vendor-agnostic methodology. Dell EMC Intelligent Data Mobility allows clients to move data and workloads. The key to making your data center migration a success is asking the right questions before getting started and choosing the right vendor to engage with. -
44
OpenObserve
OpenObserve
OpenObserve is an open source observability platform for logs, metrics, and traces that emphasizes high performance, scalability, and dramatically lower cost. It supports petabyte-scale observability thanks to features like data compression using columnar storage and the ability to use “bring your own bucket” storage (local disk, S3, GCS, Azure Blob, etc.). It is written in Rust, uses the DataFusion query engine to directly query Parquet files, and provides a stateless, horizontally scalable architecture with caching (both result and disk) to maintain speed under heavy load. It embraces open standards (OpenTelemetry compatibility, vendor-neutral APIs), so it fits into existing monitoring/logging workflows. Key modules include logs, metrics, traces, frontend monitoring, pipelines, alerts, and dashboards/visualizations.Starting Price: $0.30 per GB -
45
Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.Starting Price: Free -
46
BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
47
TruLens
TruLens
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. An easy-to-use interface that allows developers to compare different versions of their applications, facilitating informed decision-making and optimization. TruLens supports various use cases, including question-answering, summarization, retrieval-augmented generation, and agent-based applications.Starting Price: Free -
48
Threagile
Threagile
Threagile enables teams to execute Agile Threat Modeling as seamless as possible, even highly-integrated into DevSecOps environments. Threagile is the open-source toolkit which allows to model an architecture with its assets in an agile declarative fashion as a YAML file directly inside the IDE or any YAML editor. Upon execution of the Threagile toolkit a set of risk-rules execute security checks against the architecture model and create a report with potential risks and mitigation advice. Also nice-looking data-flow diagrams are automatically created as well as other output formats (Excel and JSON). The risk tracking can also happen inside the Threagile YAML model file, so that the current state of risk mitigation is reported as well. Threagile can either be run via the command-line (also a Docker container is available) or started as a REST-Server.Starting Price: Free -
49
Automaton AI
Automaton AI
With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling. -
50
Cleanlab
Cleanlab
Cleanlab Studio handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks. Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click. Explore the entire heatmap of suggested corrections for all classes in your dataset. Cleanlab Studio provides all of this information and more for free as soon as you upload your dataset. Cleanlab Studio comes pre-loaded with several demo datasets and projects, so you can check those out in your account after signing in.
