Alternatives to Verdonz
Compare Verdonz alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Verdonz in 2026. Compare features, ratings, user reviews, pricing, and more from Verdonz competitors and alternatives in order to make an informed decision for your business.
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SCIKIQ
SCIKIQ
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE. SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform. Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace. Contextual Intelligence at the Core SCIKIQ goes beyond connecting data by helping AI understand the business context behind it. Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI. Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control. AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents. Why Enterprises Choose SCIKIQ AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises. -
2
Peekdata
Peekdata
Consume data from any database, organize it into consistent metrics, and use it with every app. Build your Data and Reporting APIs faster with automated SQL generation, query optimization, access control, consistent metrics definitions, and API design. It takes only days to wrap any data source with a single reference Data API and simplify access to reporting and analytics data across your teams. Make it easy for data engineers and application developers to access the data from any source in a streamlined manner. - The single schema-less Data API endpoint - Review and configure metrics and dimensions in one place via UI - Data model visualization to make faster decisions - Data Export management scheduling AP Ready-to-use Report Builder and JavaScript components for charting libraries (Highcharts, BizCharts, Chart.js, etc.) makes it easy to embed data-rich functionality into your products. And you will not have to make custom report queries anymore!Starting Price: $349 per month -
3
Dosi
Datus
Dosi is a downloadable AI data analyst engine for data and software teams building AI agents and applications that answer questions about organizational data. It provides a semantic layer for defining business entities, metrics, relationships, and dimensions, then uses those definitions to translate natural-language questions into executable SQL. Teams can expose Dosi to compatible agents through the Model Context Protocol (MCP), or use its command-line interface and local server in developer workflows. Dosi connects to supported analytical databases and data warehouses, allowing queries to run against configured data sources while keeping business definitions consistent. Its intended uses include governed conversational analytics, agent-powered data exploration, and adding structured business context to AI-driven data applications.Starting Price: $0 -
4
Datus
DatusAI
Datus is an AI-assisted data engineering and analytics platform that builds a shared business context layer over an organization’s existing data stack. Its Datus Agent can inspect warehouse schemas, SQL, ETL code, and business documents to draft semantic models and connect business concepts, metrics, and source data. Teams review definitions and generated SQL, then use DOSI to validate compatible models and compile queries into native SQL for supported data sources. Datus provides a browser-based Studio, a local command-line agent, and REST, Python SDK, and MCP interfaces for analytics teams, data engineers, and AI agents. Common workflows include data discovery, semantic modeling, governed text-to-SQL, metric queries, SQL development, and production data engineering. It is designed to work with existing warehouses and model providers rather than require a data migration.Starting Price: $0 -
5
Cube
Cube Dev
Cube is an AI-powered business intelligence and semantic layer platform that helps organizations access, analyze, and govern business data across applications and AI agents. The software connects to data warehouses, databases, and other data sources to create a centralized semantic model containing standardized metrics, dimensions, relationships, and business definitions. Its AI-powered analytics capabilities allow users to ask questions in natural language, generate reports, build dashboards, and explore data without writing complex SQL queries. Cube provides Model Context Protocol (MCP) integrations that enable AI assistants such as ChatGPT, Claude, and Cursor to retrieve governed business information and perform analytical tasks. Its query acceleration engine uses caching and pre-aggregations to improve analytics performance while maintaining consistent data access controls. -
6
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. -
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
8
NudgeBee
NudgeBee
NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant. -
9
Mitzu
Mitzu.io
Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.ioStarting Price: $35 per month -
10
Solid
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation. -
11
Colrows
Colrows
Colrows is an autonomous semantic layer engineered to make enterprise AI reliable at production scale. Enterprise AI initiatives stall when models hallucinate and answers lack auditability. Colrows fixes the context, not the model. The platform continuously crawls databases, warehouses, catalogs, and documentation to build a dynamic business graph of entities, metrics, and logic. Sitting between enterprise data and AI surfaces, Colrows compiles natural language into governed, auditable SQL query plans. Every output traces directly to a verified single source of truth. Key capabilities include: AI Data Analyst: Conversational analytics with end-to-end SQL lineage. Semantic API: Standardized semantic infrastructure for internal copilots and agents. Auto-Crawl Engine: Continuous metadata synchronization without manual coding. Colrows delivers the mathematical accuracy and regulatory defensibility that probabilistic RAG cannot match. It is suited for regulated industries.Starting Price: $70/user/month -
12
Devart MCP Server Universal
Devart
Devart MCP Server Universal is a self-hosted Windows application that connects AI tools to databases, cloud services, and other ODBC-accessible sources through the Model Context Protocol (MCP). It uses configured ODBC drivers and data source names to route natural-language requests, generate and execute structured queries, and return results to the AI client. A single server can provide access to multiple connected sources, including SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho services. It supports MCP-compatible clients such as Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed. The server runs within an organization's own environment, giving developers, database administrators, data engineers, analysts, and operations teams a way to query internal business data through their preferred AI tools.Starting Price: $99.95/user/month -
13
ClarityQ
ClarityQ Inc
ClarityQ is an AI data analytics platform for data, product, and business teams. It connects to warehouses such as Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, Athena, and Azure Synapse, where users ask questions in natural language and receive analysis, visualizations, insights, and action plans without remodeling data. Its automatically maintained Context Layer organizes business logic, metric definitions, and table relationships, with changes tracked for review. Answers can show reasoning, generated SQL, and data sources; validation checks results, and follow-up questions clarify ambiguity. Teams create dashboards from prompts, schedule reports to Slack or email, and share results with role-aware access controls. The platform is read-only by default and offers an open API, SOC 2 Type II and GDPR compliance, Private Link, and single-tenant options. Use cases include product, growth, and business analysis for gaming, SaaS, e-commerce, and consumer app companies.Starting Price: $499/month -
14
Hyground
Hyground
Hyground is an AI-powered DevOps and SRE co-pilot — not a chatbot wrapper, but a full-stack operational intelligence system that runs inside the customer's Kubernetes cluster with no data egress. The agent connects to 21+ enterprise systems and investigates incidents across logs, metrics, traces, and K8s events. Engineers ask questions in plain language and get answers grounded in their own data — no new query languages to learn. AutoRCA turns an alert webhook into an autonomous root-cause investigation, then posts findings back to Slack or Teams. Investigation starts the instant an alert fires, not when an engineer wakes up. Customers report up to 85% MTTR reduction. Built on Google's Agent Development Kit, Hyground uses a multi-agent architecture and learns from your infrastructure over time. Resolved incidents extend the knowledge base, so runbooks stay current. -
15
Trellix Wise
Trellix
Built on over a decade of AI modeling and 25 years in analytics and machine learning, Trellix Wise XDR capabilities relieve alert fatigue and surface stealthy threats. Automatically escalate with context, and empower every member of your team to hunt for and resolve threats. Wise leverages 3x more third-party integrations than competing solutions and delivers real-time threat intelligence leveraging 68 billion queries a day from >100 million endpoints. Automatically investigate all your alerts and prioritize with automated escalations. With workflows and analytics trained on more than 1.5 petabytes and decades of data. Find, investigate, and remediate threats with AI prompts in everyday language. Recover 8 hours of SOC work for every 100 alerts and see saved time in dashboards. Trellix Wise relieves alert fatigue for security operations, enabling teams of any experience level to investigate 100% of their alerts and automate investigation and remediation. -
16
Apache Ossie
Apache Software Foundation
Apache Ossie is an open specification and converter toolkit for exchanging semantic metadata across analytics, business intelligence, and AI systems. Its YAML-based format describes semantic models, datasets, fields, metrics, dimensions, relationships, and SQL expressions in a portable structure. Data and analytics engineers can use compatible implementations to author, translate, and reuse these definitions across connected platforms, supporting consistent business context for reporting and AI-assisted analysis. The project is an open-source community effort under the Apache License 2.0, with available conversions depending on each platform’s implementation. -
17
Flitch
Flitch
Flitch is a cloud business intelligence and application-building platform for teams that want to analyze operational data and create tools around it. Users define data sources, metrics, relationships, permissions and business context, then use those shared definitions to build dashboards, internal apps, written reports, scheduled workflows and an AI chat assistant. The platform connects databases, data warehouses, SaaS services, files and APIs; database and warehouse queries can run in place, while connected SaaS data is refreshed on a schedule. Users can add input tables for business data entry and publish dashboards or apps to a custom domain, embed them, or share them with access controls such as email, passwords and row-level rules. Flitch is intended for organizations seeking self-service analytics and governed data tools, including teams with or without dedicated analysts.Starting Price: $20/user/month -
18
Codd AI
Codd AI
Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI toolsStarting Price: $25k per year -
19
Nowl
Gerling Solutions
Nowl is a semantic access layer that makes existing enterprise software and databases queryable for AI in business terms. Instead of giving an AI free SQL access, Nowl translates business questions into validated, read-only query plans and shows how every answer was derived, so results are traceable instead of a black box. A privacy layer filters data before anything is transmitted to a language model. Nowl is self-hosted (except the language model), EU data residency can be selected, and it changes nothing in the existing systems. It connects to assistants such as Claude via MCP. Typical uses: ad-hoc questions from sales, finance, service and management that standard reports do not cover. Built for mid-sized companies with grown software landscapes. Currently in a pilot program. -
20
Strategy Mosaic
Strategy Software
Strategy Mosaic is an AI-powered universal semantic data layer and analytics foundation that sits on top of an organization’s existing data systems to unify, govern, and accelerate access to business data for analytics, AI, and reporting without costly restructuring. It creates a single source of truth with consistent business definitions, metrics, and security policies across tools and sources, harmonizing data from hundreds of systems so insights are reliable and comparable everywhere. Built with AI-assisted data modeling (Mosaic Studio), Mosaic automates data preparation, cleansing, enrichment, and modeling, reducing the time and effort needed to build robust data products and semantic models. Its universal connectors let users access governed data via SQL, REST, Python, or through popular BI and productivity tools like Power BI, Tableau, Excel, and Google Sheets, while an in-memory acceleration engine delivers fast query performance across diverse sources. -
21
TierZero
TierZero
TierZero Production Agents investigate incidents, triage alerts, and fix production problems automatically so your engineers can ship faster. When an incident fires, TierZero joins and starts investigating across your full stack: logs, traces, metrics, deploys, code changes, and past incidents. Unlike standalone AI SRE tools that stop at triage, Production Agents cover the full post-merge lifecycle including investigation, remediation, support Q&A, and proactive discovery. TierZero’s Context Engine synthesizes signals from code, infrastructure, conversations, and documents into a living knowledge graph that gets smarter with every issue resolved. Deploy in your environment in under an hour. Every AI investigation is auditable. Built for regulated industries (fintech, healthcare, crypto) where security isn’t optional. -
22
Draxlr
Draxlr
Draxlr is an embedded analytics and AI business intelligence platform for SQL databases. It lets SaaS companies and enterprises build dashboards on their live data and embed them in their own products. Embedding comes in two forms. A single dashboard embed shares one dashboard with all customers, each seeing only their own data. A full app embed gives every customer their own analytics workspace with dashboards, a query builder, a SQL editor and an AI assistant. Embeds are white-label, with no Draxlr branding, custom colors, and control over filters, drill-downs and exports. AI is built into the query workflow. Users ask questions in plain English and get the SQL, results and a chart. Draxlr’s MCP server lets Claude, ChatGPT and Cursor query connected databases read-only, without sharing credentials. Draxlr connects to 14+ databases including PostgreSQL, MySQL, Snowflake, BigQuery and ClickHouse, and can be self-hosted.Starting Price: $25/month -
23
Entity Framework Core
Microsoft
Entity Framework (EF) Core is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. Enables .NET developers to work with a database using .NET objects. Eliminates the need for most of the data-access code that typically needs to be written. With EF Core, data access is performed using a model. A model is made up of entity classes and a context object that represents a session with the database. The context object allows querying and saving data. Generate a model from an existing database. Hand code a model to match the database. Once a model is created, use EF migrations to create a database from the model. Migrations allow evolving the database as the model changes. Instances of your entity classes are retrieved from the database using Language Integrated Query (LINQ). Data is created, deleted, and modified in the database using instances of your entity classes.Starting Price: Free -
24
Timbr.ai
Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.Starting Price: $599/month -
25
Databao
JetBrains
Databao is an AI-powered agentic analytics platform designed to help organizations connect databases, BI tools, documents, and spreadsheets into a governed semantic layer that enables reliable natural language querying and analytics. The platform allows technical and business users to ask questions in plain language and receive accurate, reproducible answers without relying on manual dashboard creation, SQL writing, or ad-hoc analytics requests. Databao includes open-source tools such as Context Engine, Data Agent, and an Analytics CLI that work together to generate semantic context from enterprise data sources, automate SQL generation, query multiple datasets, clean and visualize data, and orchestrate conversational analytics workflows. The platform supports local deployment within an organization’s environment and integrates with large language models to reduce SQL hallucinations, improve query accuracy, and streamline data workflows.Starting Price: Free -
26
scribe
scribe
scribe is a self-hosted knowledge base written automatically by your tools. It reads Git history, Claude Code and Codex sessions, self-sent URLs, and drop files, then turns that work into a curated, cross-project wiki of plain Markdown stored in Git. Instead of making developers maintain a second brain or rebuild context whenever an agent session starts from zero, scribe captures decisions, fixes, evaluations, and the reasoning behind them so agents can query that memory before they act. Its pipeline runs on cron: it discovers projects, filters low-value noise with FTS5 before invoking an LLM, extracts grounded facts through bounded and two-pass workflows, and compiles them into entity-first pages with YAML frontmatter, wikilinks, backlinks, retrieval context, and typed relationships such as supersedes, contradicts, derived_from, specializes, and extends. -
27
CaudexCatena
CaudexCatena
CaudexCatena MCP is a secure remote Model Context Protocol server that brings blockchain intelligence into supported AI clients such as ChatGPT, Claude, Cursor, and Codex. Investigators can start with a wallet address, transaction hash, entity, or cross-chain question and receive structured, reviewable context about activity, counterparties, exposures, risk signals, labels, and fund movements. It supports address triage, transaction analysis, tracing across related wallets and chains, exposure review, and evidence-aware case-note drafting. OAuth-secured access keeps the investigator in control, while source context, confidence signals, and review boundaries remain visible. CaudexCatena MCP is built for blockchain investigators, AML and compliance analysts, researchers, journalists, and teams that need faster AI-assisted investigations without treating model output as a final finding.Starting Price: $40/month -
28
LinkIntel
DevRel Bridge Ltd
LinkIntel is a hosted Model Context Protocol (MCP) server that gives compatible AI assistants evidence from a user's X account to inform post drafts. With permission, it collects daily snapshots of recent original X posts and their performance metrics, and refreshes a record of X's open-source ranking weights with links to the relevant code commits. Users can also add public X posts as topic-specific references. An assistant can request a cited content brief combining saved account metrics and selected references with source links, capture times, and stated limits of the evidence. LinkIntel is read-only: it does not publish or schedule posts, search X independently, or predict reach. It is designed for founders, creators, marketers, and others who draft X content in MCP-compatible assistants such as Claude. The hosted service is sold as a monthly subscription.Starting Price: $39/month -
29
VictoriaMetrics Cloud
VictoriaMetrics
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups. We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance. It comes with the following features: It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana; Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other; VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks; Automated backups;Starting Price: $190 per month -
30
ARGOS
ARGOS
ARGOS applies the all so important context to alerts and assists teams to identify where exactly exposed resources in cloud environments are. ARGOS saves your teams time by automatically investigating every detection. What can easily take a person hours, we do in seconds. ARGOS monitors all your cloud providers around the clock, and delivers a complete, real-time view of your cloud security posture in a single pane. CSPM, CASM and CIEM in one product. ARGOS applies the critical knowledge Security Teams require to identity actual security problems in the public cloud. Publicly exposed assets are identified automatically and are ready for further investigation. Focus work and effort on the most critical cloud security issues. ARGOS applies environmental context to prioritise issues, going beyond simple “Red, Amber, Green” criticalities.Starting Price: $1,200 per month -
31
Synergy
Unframe
Synergy is an AI-native command center for enterprise IT operations that unifies siloed monitoring, ticketing, logging, and documentation into a single pane of glass. It continuously correlates signals across tools like Splunk, New Relic, Jira, ServiceNow, and Confluence to turn alert storms into clear, prioritized insights. Synergy’s Smart Incident Workflows automate routine tasks, suggest next steps, flag ownership gaps, and accelerate resolution to cut mean time to detection and repair. Its proactive monitoring detects risks before traditional alerts trigger, flags error spikes and missed escalations, recognizes emerging patterns, and answers investigative queries in natural language. Built-in root cause analysis traces incidents end-to-end across time, logs, metrics, tickets, and post-mortems, links to similar events for instant context, and generates concise summaries. -
32
ThunderBar
INWEBPRO
ThunderBar is a hosted search and product-discovery service for online stores. It combines text and semantic search to return products as shoppers type, with typo and accent handling, SKU and barcode lookup, natural-language queries, and photo-based visual search. Store teams can configure filters, results pages, merchandising rules, scheduled campaigns, banners, recommendations, and visitor personalisation. Search analytics report queries, clicks, orders, and revenue, with connections for Google Analytics 4, Meta Pixel, Google Sheets, and Looker Studio. ThunderBar provides a module for OpenCart 3 and a WooCommerce plugin, while Shopify, PrestaShop, Magento, and other stores can use a product feed and embedded code. Custom plans can run on the customer's own server, and an MCP catalog server is available on the Enterprise plan. Features and limits vary by plan.Starting Price: €35/month -
33
Animo Media Intelligence
Animo
Animo is a cloud-based media measurement and optimization platform for brand marketing, media, and analytics teams and agencies. It brings online advertising and offline media activity into a shared workspace for cross-channel reporting, marketing mix modeling, and planning. The Online Dashboard connects advertising platforms and organizes campaign metrics such as spend, impressions, clicks, conversions, and return on investment in one view. Online models estimate channel contribution and support budget decisions, while offline tools assess television, radio, and out-of-home activity against business outcomes, including TV spot analysis at 15-minute intervals. A Media Planner supports pre-campaign scenarios, and users can query marketing data from AI assistants through a Model Context Protocol connection. The modular product supports digital-only or combined online and offline measurement.Starting Price: $100/month -
34
CData Connect AI
CData
CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports. -
35
VIXN
Fermata Discovery
VIXN is a comprehensive investigative case management platform that: • Maps all case data to display nexus and knowledge gaps • Sources case data and structures information for analysis • Filters, indexes, and visualizes data to expose insights • Organizes casework and enables investigation collaboration • Generates actionable entity profiles and automated client reports The VIXN engine is an identity resolution platform that automatically aggregates data on entities-of-interest involved in an investigation and crunches high volumes of information for vital clues. Powered by open source and proprietary data streams, the VIXN engine is delivered in UI and API formats.Starting Price: Call for pricing -
36
Markbase
AltaCoda
Markbase gives teams and their AI agents shared, transparent memory and skills. Decisions, incidents, plans and findings live in readable Markdown that people can inspect, edit and export. Claude Code, Codex, Cursor and other MCP-compatible agents can use the same knowledge and add what they learn. Teams can keep skills current across machines, link knowledge to code changes, and pass work between agents without losing context. Alerts, webhooks and schedules can start agent workflows for development and production. Agents run on machines the team chooses, with the access the team provides. Markbase is available as a hosted service, self-hosted in the customer's environment, or as a dedicated deployment in the customer's cloud.Starting Price: $20/month -
37
HighAvailabilityData
NUTRADELIS
HighAvailabilityData is self-hosted software for deploying and operating high-availability database clusters. It provides a web console for PostgreSQL, MySQL, MariaDB Galera, MongoDB, Redis, Valkey and ClickHouse environments, with automatic failover, agentless monitoring, topology and cluster health views, alerts, backups and point-in-time recovery. Administrators can manage deployments, import existing clusters, perform switchovers and rolling restarts, review query and per-user workload activity, and inspect an audit log. The product supports REST API access, Prometheus metrics and LDAP or Active Directory authentication. It is designed for database administrators and systems teams who manage production database infrastructure on their own servers. The core console is available without a license fee; paid plans cover optional technical support.Starting Price: Free -
38
Easy Affiliate
Caseproof
Easy Affiliate helps you create a completely self-hosted affiliate program for your WordPress membership site or ecommerce store within minutes. Start growing your sales with the power of referral marketing. Keep affiliates motivated and in-the-know with access to metrics, creative assets, payments, and other account activity. Keep your finger on the pulse of your business with real-time clicks and affiliate stats reporting. You're alerted to suspicious affiliate activity, so you can investigate, then flag or reject before you pay out. Set multiple commission levels and customize per user with powerful Affiliate Commission Override Rules. Full-featured links and banners management ensures your affiliate's creatives are always on point.Starting Price: $99.50 per year -
39
Auguria
Auguria
Auguria is a cloud-native security data platform that harnesses human-machine teaming to extract the 1 percent of event data that matters from billions of logs in real time by cleansing, denoising, and ranking security events. At its core is the Auguria Security Knowledge Layer, a vector database and embedding engine built on an ontology distilled from decades of real-world SecOps experience, which semantically groups trillions of events into investigation-worthy insights. Without requiring expert data engineering, users can connect any data source to an automated pipeline that prioritizes, filters, and routes events to SIEM, XDR, data lakes, or object storage. Auguria continuously updates its state-of-the-art AI models with new security signals and state-specific context, provides anomaly scoring and justifications for each event, and delivers real-time dashboards and analytics to accelerate incident triage, threat hunting, and compliance. -
40
Meii AI
Meii AI
Meii AI is a global leader in AI solutions, offering industry-trained Large Language Models that can be tuned accordingly with company-specific data and hosted privately or in your cloud. Our RAG ( Retrieval Augmented Generation ) based AI approach uses Embedded Model and Retrieval context ( Semantic Search ) while processing a conversational query to curate Insightful response that is specific for an Enterprise. Blended with our unique skills and decade long experience we had gained in Data Analytics solutions, we combine LLMs and ML Algorithms that offer great solutions for Mid level Enterprises. We are engineering a future that allows people, businesses, and governments to seamlessly leverage technology. With a vision to make AI accessible for everyone on the planet, our team is constantly breaking the barriers between machines and humans. -
41
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
42
MetriBee
Nexmoe
MetriBee is a self-hosted dashboard for Google Analytics 4 (GA4). It runs in Docker and uses a read-only service account to display data already collected by GA4, letting users view multiple properties without adding a tracking script or maintaining a separate event database. The home screen includes Cards, Status, Table and Heatmap views, CSV export and optional AdSense earnings. Realtime reports use the GA4 Realtime API, with property activity, spike detection and a live globe. Reports cover overviews, pages, events, journeys, retention and funnels, with click-to-filter and period comparison. Optional Search Console metrics appear alongside GA4 data. MetriBee offers embeddable widgets, revocable private dashboards and an MCP endpoint for querying analytics with compatible assistants. It is intended for developers, agencies and site owners who want a consolidated view of GA4 properties on their own server.Starting Price: Free -
43
PeerDB
PeerDB
If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.Starting Price: $250 per month -
44
Sayari
Sayari Labs, Inc.
Sayari provides the necessary context for confident conclusions, information sharing, and reporting. Analysts and compliance teams empower leaders to make informed decisions that promote a safer trade landscape. Sayari was designed to help these teams quickly understand complex connections that exist between entities for better insights into global commerce and supply chains. Efficiently surface entities linked to designated parties or high-risk jurisdictions using embedded watchlists, trade and maritime data, graph analytics, and geospatial search. Accelerate cross-border investigations into illicit financial activity with comprehensive beneficial ownership information from offshores and hard-target jurisdictions. Instantly identify entities linked to designated parties and supplement networks with new investigative findings while maintaining a court-admissible paper trail. -
45
SeaTicket
SeaCloud Labs
SeaTicket is an open-source, AI-powered support center that brings questions and issue reports from GitHub, Discord, Discourse, and email into one workspace. AI agents investigate each new question by searching related issues, past cases, and your knowledge base, then suggest a reply or a ticket. Your team approves, edits, or discards every suggestion, and approved replies post back to the original thread. When a question needs an engineer, it becomes a trackable ticket with an owner, internal discussion, and full context. Approved resolutions are saved to a searchable knowledge base that the team and agents reuse. SeaTicket integrates with Notion, Confluence, Linear, Jira, and Seafile. It includes API access, an external support portal, and unlimited team members on every plan. Use the hosted cloud or self-host the Apache 2.0 code.Starting Price: $0/month -
46
Relace
Relace
Relace offers a suite of specialized AI models purpose-built for coding workflows. Its retrieval, embedding, code-reranker, and “Instant Apply” models are designed to integrate into existing development environments and accelerate code production, merging changes at speeds over 2,500 tokens per second and handling large codebases (million-line scale) in under 2 seconds. The platform supports hosted API access and self-hosted or VPC-isolated deployments, so teams have full control of data and infrastructure. Its code-oriented embedding and reranking models identify the most relevant files for a given developer query and filter out irrelevant context, reducing prompt bloat and improving accuracy. The Instant Apply model merges AI-generated snippets into existing codebases with high reliability and low error rate, streamlining pull-request reviews, CI/CD workflows, and automated fixes.Starting Price: $0.80 per million tokens -
47
Messync
Messync
Messync is an AI-powered knowledge workspace that consolidates scattered documents, web content, spreadsheets, presentations, and other sources into a unified, searchable, and actionable intelligence layer; in four steps, it connects your data, indexes it, lets you chat naturally with that knowledge, and builds on it. It offers deep “chat with” tools (PDFs, docs, sheets, PPTs, eBooks, web content), seamless Google Drive integration, and a beta Chrome extension to bring its AI contextual assistant to any webpage. Users can organize work into multi-project workspaces, surface trends and metrics via visual insights and reports, and interact with their content through natural-language queries while preparing for future extensibility with upcoming API access. It is currently in beta with free access to premium features, emphasizing instant clarity, collaboration, and the ability to turn dispersed information into structured, AI-augmented output without friction. -
48
SenseLab
SenseLab
SenseLab is a cloud-based memory and learning layer for AI agents and agent-driven applications. It provides shared knowledge spaces (“Rooms”) where agents and teams can record, retrieve, and share context across sessions, models, and tools. Agents can store findings, decision context, and outcomes; the service maintains versioned records and uses outcome feedback to adjust confidence in knowledge. SenseLab provides an MCP server and Python and TypeScript SDKs for connecting agent clients and applications through API-key access. Teams can use it to carry context between agents, coordinate work, review decision histories, and retain structured traces for evaluation or model-training workflows. It is intended for developers and organizations building systems with multiple AI agents. The vendor also documents a self-hosting option through its open-source codebase.Starting Price: $29/month -
49
Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
50
VictoriaMetrics
VictoriaMetrics
VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden. VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads. VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts. With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice.Starting Price: $0
