Data & Analytics

Snowflake offers a fully managed cloud data platform that lets enterprises store, process, and analyze data and build AI and analytics applications.

Fivetran provides an automated data integration service that extracts data from many sources and loads it into data warehouses or data lakes for analytics and AI. Companies and their data teams use it to centralize and synchronize their data.

MongoDB offers a document database platform that stores and processes operational, vector, and streaming data. Developers and enterprises use it to build applications.

ClickHouse is an open-source column-oriented database management system that enables real-time analytical queries using SQL. It is used by developers and data teams to analyze large datasets for analytics, observability, and machine‑learning workloads.

PostHog provides a suite of developer tools—including product analytics, session replay, feature flags, and a managed data warehouse—that product engineers use to build, test, measure, and ship software products. It offers a unified data stack for collecting and analyzing product usage data.

Pendo provides an analytics and adoption platform that collects user behavior data from software applications and AI agents and links it to business outcomes. Product, IT, revenue, and marketing teams use it to understand usage, measure AI adoption, and guide users toward value.

Fullstory offers a platform that records detailed user behavior on websites and apps, providing data that can be used for analysis and AI-driven insights. It is used by product, engineering, and support teams to understand and improve digital experiences.

Amplitude provides a digital analytics platform that lets product, marketing, data, and engineering teams collect and analyze user behavior data to inform product decisions. The platform includes tools for product analytics, experimentation, session replay, and data governance.

Mixpanel provides a product analytics platform that lets product, engineering, growth, and marketing teams track user behavior, measure conversions and retention, and use AI to surface insights from their data.

Databricks provides a platform for data, analytics, and AI that lets organizations build and run data pipelines, applications, and AI models on a single system.

Confluent offers a cloud-native data streaming platform based on Apache Kafka that enables organizations to stream, connect, process, and govern data in real time. Developers and data teams use it to build event‑driven applications, analytics, and AI pipelines.

Turbopuffer offers a vector and full-text search database built on object storage, enabling developers to run similarity and keyword searches. It is used by companies building AI applications, semantic search, and recommendation systems.

Hex offers an analytics platform that combines AI agents, conversational queries, and data app building, allowing data engineers, analysts, and business users to analyze data and share insights in a single workspace. The platform connects to data warehouses and uses a shared context layer to keep AI‑generated answers consistent and trustworthy.

dbt Labs offers a SQL‑based data transformation platform that enables data teams to build, test, version‑control, and document data pipelines. The platform is used by analytics engineers and data teams to create reliable, governed data models for analytics and AI.

Omni Analytics is a platform that allows organizations to query and explore their data through a chat interface, build dashboards, and connect to data warehouses via APIs and a semantic layer. Data, business, and product teams use it to obtain answers and insights from their data.

Aiven offers a managed open-source data platform that allows engineers to run services such as Kafka, PostgreSQL, MySQL, ClickHouse, and OpenSearch on any cloud provider.

Metabase is an open-source analytics platform that lets data teams query, visualize, and share data from databases or warehouses, available as self-hosted software or a cloud service. It provides a UI for building dashboards and supports embedding analytics in applications.

Tableau provides business intelligence and analytics software that lets users connect to data sources, create visualizations, and share insights. It is used by analysts and organizations to explore and act on their data.

Pinecone provides a fully managed vector database that stores and searches high‑dimensional embeddings for AI applications. It is used by developers and teams to add semantic search, recommendation, or knowledge retrieval capabilities to their products.

Mode provides a data platform that integrates SQL, R, Python, and visual analytics for data and business teams. The platform enables users to run ad hoc queries, build dashboards, and create custom data applications.

Hotjar offers heatmaps, session recordings, funnel analysis, and survey tools that let website owners and product teams see how visitors interact with their sites. It is used by businesses and developers to identify usability issues and improve user experience.

LiveRamp operates a data collaboration network that connects various data signals, agents, and platforms to support AI-driven marketing and measurement for brands, publishers, and platforms.

Tinybird provides a managed ClickHouse platform with developer tools that let software teams ingest, query, and monitor large data sets in real time without managing the underlying infrastructure.

Tiger Data offers a PostgreSQL-based time-series database platform for storing and analyzing large volumes of sensor and machine data, used by enterprises in industrial, energy, and robotics applications.