KNIME

Snowflake

Cloud data platform for AI

Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. It supports AI and machine learning workloads with seamless integrations.

Microsoft Clarity

Free user behavior analytics with heatmaps.

Microsoft Clarity is a 100% free behavioral analytics tool built by Microsoft, widely used by US web developers, digital marketers, SaaS founders, and e-commerce store owners. It gives you a complete visual picture of how real visitors interact with your website — where they click, how far they scroll, and exactly where they lose interest and leave. Clarity's two core features are heatmaps and session recordings. Heatmaps show you aggregate click, scroll, and move patterns across your entire site in a color-coded visual. Session recordings let you replay individual user visits, including the ability to automatically flag frustration signals like rage clicks (rapid repeated clicking) and dead clicks (clicking on non-interactive elements). For US businesses managing CCPA compliance, Clarity is fully CCPA- and GDPR-compliant and automatically masks sensitive input fields — passwords, credit card numbers, and personal data — without any manual configuration.

RapidMiner

Data science platform for teams

RapidMiner is a data science platform that provides an integrated environment for data preparation, machine learning, and model deployment. It supports both visual workflow design and code-based development.

Databricks

Unified analytics and AI platform

Databricks provides a unified platform for data engineering, data science, and machine learning. It enables teams to collaborate on big data processing and AI model development at scale.

Unstructured

Enterprise document ingestion & unstructured ETL pipeline for RAG

Unstructured is the leading enterprise ETL (Extract, Transform, Load) platform engineered to prepare messy, unstructured business documents for Retrieval-Augmented Generation (RAG) and LLM fine-tuning. Over 80% of enterprise data lives in complex formats like scanned PDFs, PowerPoint decks, Word files, HTML tables, and email threads that break standard text scrapers. Unstructured utilizes specialized computer vision and vision-language models to segment documents into structural semantic elements (titles, paragraphs, headers, embedded tables, and image captions) while preserving exact spatial and hierarchical context. Available as an open-source Python library and a high-throughput serverless cloud API, Unstructured integrates directly with LangChain, LlamaIndex, and major vector databases to power mission-critical enterprise knowledge retrieval.

Qdrant

High-performance vector database and similarity search engine for AI

Qdrant is an open-source, high-performance vector database and similarity search engine engineered in Rust for production AI systems, semantic search engines, and Retrieval-Augmented Generation (RAG) pipelines. It provides lightning-fast nearest-neighbor search with rich payload filtering and custom distance metrics. Unlike traditional databases adapted for vectors, Qdrant was designed from day one to handle high-dimensional neural embeddings at scale. Its Rust engine provides memory-efficient vector quantization (scalar, product, and binary), allowing engineering teams to search billions of vectors on cost-effective cloud hardware.