Best Artificial Intelligence Software for Databricks - Page 6
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Compare the Top Artificial Intelligence Software that integrates with Databricks as of October 2026 - Page 6
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This a list of Artificial Intelligence software that integrates with Databricks. Use the filters on the left to add additional filters for products that have integrations with Databricks. View the products that work with Databricks in the table below.
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1
Relevance Lab SPECTRA
Relevance Lab
SPECTRA is an AI-driven data analytics and integration platform designed to intelligently collect, harmonize, process, and move data across multiple systems so organizations can unlock business value from disparate data sources. It helps centralize data that is often spread across applications and geographies, enabling smoother functionality, faster insights, and reduced operational friction. SPECTRA supports advanced data extraction and management services, builds scalable data lakes that serve as a single source of truth, and modernizes data warehouses to improve speed, efficiency, and analytical capability. It can ingest structured and unstructured data and apply AI-enhanced analytics to help businesses derive actionable insights and improve decision-making across functions. By consolidating and standardizing data with tools such as optical character recognition and intelligent data labeling, SPECTRA accelerates analytics initiatives, enhances R&D and compliance efforts. -
2
Alkemi
Alkemi
Alkemi’s flagship product, DataLab, is a secure AI-native workspace that connects directly to your company’s governed data from sources like Snowflake, BigQuery, Databricks, or simple CSV uploads and lets users ask questions in plain English to get instant, transparent answers, charts, and recommendations with no SQL or analysts required. DataLab indexes and analyzes your data inside a private, secure environment so every insight is traceable and verifiable, and your data never leaves your control, protecting intellectual property and governance. It bridges the gap between complex data stores and everyday decision-making by combining the clarity of business intelligence with conversational AI to reduce BI backlogs and speed decisions for marketing, finance, product, sales, operations, and more. DataLab also enables data providers to turn datasets into interactive, AI-ready experiences that buyers can explore securely without exposing raw data, and accelerating data discovery. -
3
Varick Agents
Varick Agents
Varick Agents builds and deploys custom AI agent solutions designed to automate entire operational processes rather than isolated tasks, enabling organizations to transform departments such as finance, operations, revenue, legal, admissions, and customer support with purpose-built AI that connects directly to ERP, CRM, practice management, and other core tools without requiring platform migration or long discovery phases; their agents are tailored to each client’s unique workflows and can handle end-to-end work such as client intake, contract analysis, admissions support, financial reconciliation, marketing attribution, and 24/7 customer service automation with human-in-the-loop guardrails so teams can focus on high-value work. The engagement model emphasizes rapid deployment (often under 30 days), seamless integration, and measurable business impact. -
4
1Platform
Polestar Analytics
1Platform is a data engineering, analytics, and AI/ML platform that helps organizations unify, prepare, and analyze data to generate business-ready intelligence and automated insights; it blends advanced data engineering with generative AI, autonomous agents, and business intelligence capabilities so enterprises can move from raw data to measurable outcomes and strategic decisions. It supports end-to-end data workflows, including data orchestration, analytics plays, AI assistants (agentic and generative), and pre-built machine learning models that accelerate insights across sales, supply chain, finance, and operations while making data governance, integration, and readiness easier. Polestar’s ecosystem also includes tools for AI-led decision support and analytics dashboards, and it emphasizes scalable, cloud-ready infrastructure that connects with major hyperscalers and partners like Databricks to build an AI-ready data foundation. -
5
Insider One
Insider One
Insider One is an AI-powered customer engagement and omnichannel marketing platform that unifies customer data, personalization, predictive intelligence, and journey orchestration into a single system so teams can deliver real-time, personalized experiences across channels such as web, app, email, SMS, WhatsApp, push notifications, and site search without switching tools. It learns from customer behavior to predict interests and next actions, enabling marketers to segment audiences with precision, trigger automated journeys, and optimize campaigns with real-time AI that anticipates needs and maximizes engagement and conversions; it includes an integrated Customer Data Platform (CDP) that consolidates data from 100+ connectors to create unified profiles for tailored messaging and intelligent recommendations. Users can design and automate connected experiences on a visual canvas with triggers and conditions, run AB tests, and launch personalized interactions. -
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Redpanda Agentic Data Plane
Redpanda Data
Redpanda is an enterprise data streaming platform designed to make AI agents safe, governed, and effective across all organizational data. Its Agentic Data Plane connects agents to data sources across cloud, on-prem, and hybrid environments without creating risk or chaos. Redpanda unifies live data streams and historical data into a single, queryable layer. Built-in governance ensures every agent action is authorized, logged, and auditable. The platform enables agents to retrieve exactly the data they need with full context. Redpanda records and replays all agent activity for transparency and debugging. It helps enterprises move from experimental AI to production-ready agentic systems. -
7
Simon AI
Simon AI
Simon AI is an AI-powered marketing platform designed to help organizations activate customer data and automatically launch personalized campaigns across digital channels. It combines a composable customer data platform with autonomous AI agents that analyze customer behavior, contextual signals, and business data to create highly targeted marketing experiences. Instead of requiring marketing teams to manually segment audiences or run complex queries, Simon AI allows marketers to set business goals, such as increasing conversions, preventing churn, or driving repeat purchases, and the system’s AI agents handle the data preparation, insights generation, and campaign execution. It integrates customer, transactional, and contextual information such as browsing behavior, inventory availability, weather changes, social signals, and other real-world events to trigger relevant marketing actions in real time. -
8
Simtheory
Simtheory
Simtheory is an AI-powered workspace designed to transform how teams work by turning conversations into real actions through connected systems, data, and intelligent assistants. It is not just a chatbot, but a secure environment where users can build AI assistants that understand their business context, access internal data, and execute tasks such as drafting reports, analyzing datasets, updating CRM records, scheduling meetings, or sending communications. It connects directly to data warehouses, SaaS tools, and internal systems, giving AI full context to generate accurate, relevant outputs and enabling teams to move from simple prompts to delegated work with measurable outcomes. Users can create shared assistants with custom instructions and knowledge bases, allowing teams to standardize workflows and collaborate more effectively across projects. Simtheory supports multiple AI models in a single workspace, allowing users to switch between them seamlessly. -
9
Actian AI Analyst
Actian
Actian AI Analyst is a context-aware conversational analytics platform designed to help organizations get trusted answers from their data using natural language. It enables business users to ask questions directly without writing SQL, transforming traditional dashboards into an interactive, ongoing conversation with data. It operates on a governed semantic layer that models business metrics, relationships, and definitions before analysis begins, ensuring that every query is grounded in how the organization actually works. This semantic layer is automatically generated and maintained by the Steward AI agent, which continuously monitors data definitions and connections, providing reviewable action plans to maintain accuracy over time. AI Analyst preserves conversational context across follow-up questions, allowing deeper exploration while keeping results consistent with defined business logic. -
10
Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security. -
11
Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
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Matters.AI
Matters.AI
Matters.AI is the first AI Security Engineer for Data, built for the AI and data layer to autonomously see, understand, and resolve data misuse before the SOC opens a ticket. It protects what truly matters wherever data lives or travels, functioning like an AI security engineer that understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, endpoints, microservices, and AI pipelines. Matters is built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, so it does not just detect threats; it understands context, anticipates risk, and takes action proactively. Instead of relying on static rules, regexes, dashboards, and noisy alerts, Matters reads between the lines, traces risk in motion, and never sleeps. It identifies sensitive data not just by how it looks, but by what it represents, tracking data across cloud, SaaS, endpoints, and beyond using fingerprinting and eBPF. -
13
Intellistack
Intellistack
Intellistack Streamline is a secure, AI-native, no-code workflow automation platform designed to help organizations eliminate manual processes, connect siloed systems, and streamline operations. The platform enables businesses to replace disconnected tools and inefficient workflows with a centralized solution built around data safety and compliance. Intellistack Streamline allows teams to automate workflows, create digital forms, generate documents, manage contracts, and collect eSignatures without coding expertise. It integrates with systems such as EHRs, CRMs, databases, SharePoint, Salesforce, Epic, Cerner, Slack, Snowflake, and SQL databases to create seamless data-driven processes. The platform is designed for organizations that handle sensitive information and require strong security, governance, and compliance controls. Intellistack Streamline helps businesses reduce costs, improve efficiency, consolidate vendors, and reclaim time spent on repetitive administrative tasks. -
14
VEDA
Samta.ai
VEDA (Visual Exploration and Decision Analytics) is an AI-powered enterprise decision analytics platform developed by Samta.ai. It enables organizations to connect structured and unstructured data from multiple enterprise systems into a unified intelligence layer without moving the underlying data. Using conversational AI, business users can ask questions in natural language and instantly receive trusted insights, interactive dashboards, charts, and reports—eliminating the need for SQL or technical expertise. VEDA helps organizations reduce reporting delays, improve decision-making, uncover trends and anomalies, and securely share insights through role-based access controls. The platform integrates with existing enterprise data sources using a zero-copy architecture and is designed for business intelligence, executive reporting, operational analytics, compliance reporting, and enterprise decision support across industries. -
15
Mavvrik
Mavvrik
Mavvrik is an AI and hybrid infrastructure cost management platform that gives finance, FinOps, IT, and engineering teams one control center for GenAI, autonomous agents, GPUs, cloud, on-premises systems, Kubernetes, data platforms, and SaaS. It unifies cost, usage, and telemetry signals from AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, creating a single source of truth across the technology stack. Teams can track every model call, agent interaction, GPU hour, workload, service, and resource, then allocate spending by customer, product, feature, project, application, environment, team, or cost center. Cost-to-serve and unit-economics analysis reveal margin drains, expensive workloads, and the true cost of delivering each offering. Real-time anomaly detection and alerts identify usage before it becomes a budget surprise, while predictive forecasting helps organizations model cloud, GPU, and AI expenses. -
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Intellrise
Intellrise
Intellrise is an AI data analyst for individuals and small teams. Connect PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Snowflake, Databricks, Google Sheets, CSV or Excel, then ask questions in plain English. It writes the SQL, shows it to you before it runs so you can read or adjust it, and returns charts, dashboards and reports you can export to PDF, Excel, PowerPoint, Word or CSV. A single question can use more than one connected source. Every plan is bring-your-own-key: you connect your own Google Gemini, OpenAI or Anthropic API key, so model choice and cost stay with you. That also means you need your own AI key before you can ask anything - there is no built-in model. There is a free tier, and every new account starts with a 14-day Pro trial that does not ask for a card. Pro is $29/month, or $24/month billed annually. Pro is single-seat; shared team workspaces are not available yet.Starting Price: $0 -
17
Unity AI Gateway
Databricks
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps. -
18
GPT-5.6 Sol Ultrafast
OpenAI
GPT-5.6 Sol Ultrafast is a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster than Standard processing, bringing frontier intelligence to products and workflows where every second matters. Powered by Cerebras, it can generate up to 750 output tokens per second, allowing advanced reasoning to operate at real-time speeds without requiring a smaller or more specialized model. It is designed for time-sensitive business workflows where faster responses can change what AI can realistically do. Applications include incident response, where models can analyze logs, code changes, traces, and engineer reports while an outage is unfolding; financial research and security, where changing market signals and suspicious transactions can be assessed quickly; and customer support and voice, where complex issues can be resolved without interrupting a live conversation. In commerce, it can answer product questions, check inventory, and personalize recommendations. -
19
Kana
Kana
Kana is an agentic marketing platform that helps teams turn fragmented marketing data into real-time decisions and measurable business outcomes. Its applications connect data across the marketing ecosystem, unify information that normally sits in separate tools, and identify patterns, risks, behavioral signals, and opportunities as they emerge. It recommends and executes next-best actions, replacing manual guesswork with data-driven decisions designed to improve performance. Kana’s marketing operating layer sits across tools such as email platforms, ad systems, CRMs, spreadsheets, and other software, using AI agents to coordinate data and actions as one system. Rather than functioning only as generative AI that responds to prompts, its agents can work toward goals, plan multi-step workflows, process signals in real time, and execute actions across the marketing stack. -
20
Turgon
Turgon
Turgon is an AI-native data modernization platform built to complete enterprise transformation projects in weeks by combining specialized AI agents with human experts. Its agentic architecture accelerates migration from end-of-life systems by mapping, cleaning, and restructuring data in flight while continuously building and evolving a data ontology. It transforms fragmented structured and unstructured information into decision-grade assets, with agents enforcing data integrity, master data management, lineage, auditability, and compliance policies. AI agents can scan schemas, documents, logs, transcripts, data flows, and existing systems to construct a complete map of an enterprise environment, identify gaps, and generate production-ready specifications without lengthy discovery workshops. Specialized agents handle orchestration, Snowflake pipelines, production-grade integration code, semantic modeling, legacy modernization, QA, and monitoring. -
21
Rilevera
Rilevera
Rilevera is an AI Detection Engineer that continuously validates, improves, and manages detections across SIEM, EDR, and data platforms so security teams can focus on stopping real threats instead of chasing broken rules. It validates detection logic, telemetry dependencies, and schema integrity across platforms, immediately identifying when a rule breaks or required data disappears. AI-driven detection optimization analyzes performance data, false-positive trends, overlap, and logic quality to recommend improvements and push validated updates back into execution platforms. Coverage and Gap Analysis maps detections and telemetry to MITRE techniques and threat actors, helping teams identify blind spots and prioritize new rule development. Structured workflows for design, validation, peer review, and controlled deployment bring discipline and speed to the detection lifecycle. Rilevera continuously analyzes detection performance to improve signal quality, reduce alert fatigue, etc. -
22
Snowfire
Snowfire
Snowfire AI is an adaptive enterprise decision intelligence platform that unifies proprietary business data, organizational intelligence, and contextualized reasoning with real-time market signals to help leaders make effective decisions. It connects CRM, ERP, finance, marketing, HR, operations, security, and other enterprise data sources, creating a governed operating layer with trusted metrics and full lineage. Signals Intelligence continuously monitors internal metrics and external change, prioritizing material shifts and routing role-aware alerts to the leaders who should act first. Ask Business Data lets executives ask questions in plain language and receive answers grounded in connected business data without waiting for analysts or rebuilding dashboards. Metric Intelligence creates one trusted definition for KPIs so signals, answers, and reports begin from consistent numbers. -
23
Continual
Continual
Build predictive models that never stop improving without complex engineering. Connect to your existing cloud data warehouse and leverage all your data where it already lives. Share features and deploy state-of-the-art ML models with nothing but SQL or dbt or extend with Python. Maintain predictions directly in your data warehouse for easy consumption by your BI and operational tools. Maintain features and predictions directly in your data warehouse without new infrastructure. Build state-of-the-art models that leverage all your data without writing code or pipelines. Unite analytics and AI teams with full extensibility of Continual's declarative AI engine. Govern features, models, and policies with a declarative GitOps workflow as you scale. Accelerate model development with a shared feature store and data-first workflow. -
24
CognitiveScale Cortex AI
CognitiveScale
Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives. -
25
WisdomAI
WisdomAI
WisdomAI is an AI-powered analytics platform designed to provide instant, actionable insights from both structured and unstructured data. With its powerful AI assistant, users can ask questions in plain English and receive answers in seconds, enabling faster decision-making across various industries. The platform integrates seamlessly with BI tools, data warehouses, and other platforms to provide a unified view of data, offering proactive insights and recommendations tailored to users’ goals. WisdomAI's enterprise-grade security and flexible integrations ensure that teams can collaborate effortlessly and make data-driven decisions efficiently. -
26
BettrData
BettrData
Our automated data operations platform will allow businesses to reduce or reallocate the number of full-time employees needed to support their data operations. This is traditionally a very manual and expensive process, and our product packages it all together to simplify the process and significantly reduce costs. With so much problematic data in business, most companies cannot give appropriate attention to the quality of their data because they are too busy processing it. By using our product, you automatically become a proactive business when it comes to data quality. With clear visibility of all incoming data and a built-in alerting system, our platform ensures that your data quality standards are met. We are a first-of-its-kind solution that has taken many costly manual processes and put them into a single platform. The BettrData.io platform is ready to use after a simple installation and several straightforward configurations. -
27
Claude Fable 5.5
Anthropic
Claude Fable 5.5 is not currently an announced or released Anthropic model as of September 30, 2026. Anthropic's current model documentation lists Claude Fable 5.1 as the latest Fable model alongside Claude Opus 5.5 and Claude Sonnet 5.5. Fable 5.1 remains Anthropic's premium model for demanding reasoning and long-horizon agentic workloads, with a 1-million-token context window and maximum output of 128,000 tokens. It uses adaptive thinking that is always enabled and defaults to a high reasoning effort level. Fable 5.1 is priced at $10 per million input tokens and $50 per million output tokens, with cache reads priced at $0.25 per million tokens. Anthropic has released Opus 5.5 and Sonnet 5.5, but there is currently no official model documentation, pricing, release date, benchmark data, or API identifier for Claude Fable 5.5. -
28
Labelbox
Labelbox
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification. -
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CodeSquire
CodeSquire
Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go. -
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DataNimbus
DataNimbus
DataNimbus is an AI-powered platform that streamlines payments and accelerates AI adoption through innovative, cost-efficient solutions. By seamlessly integrating with Databricks components like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability, governance, and runtime operations. Its offerings include a visual designer, a marketplace for reusable connectors and machine learning blocks, and agile APIs, all designed to simplify workflows and drive data-driven innovation.
