Business Software for PostgreSQL

Simon AI is a marketing platform driven by artificial intelligence, aimed at assisting organizations in leveraging customer data to effortlessly initiate personalized campaigns across various digital platforms. By merging a flexible customer data system with self-sufficient AI agents, it assesses customer behaviors, contextual cues, and business metrics to develop precisely tailored marketing experiences. Rather than having marketing teams manually sort through audience segments or execute intricate queries, Simon AI empowers marketers to establish business objectives, like boosting conversions, reducing churn, or encouraging repeat purchases, while its AI agents take care of data organization, insight extraction, and campaign implementation. Furthermore, it incorporates a variety of information, including customer interactions, transaction history, and contextual variables such as browsing habits, inventory status, weather fluctuations, and social media activity, to facilitate timely and pertinent marketing responses. This innovative approach not only streamlines marketing efforts but also enhances the relevance of customer interactions, ultimately leading to improved business outcomes.

Bandits is a cutting-edge AI automation platform tailored for enterprises looking to implement secure and integrated AI agents that simplify repetitive business operations and enhance overall efficiency. The platform features a suite of pre-designed AI modules that seamlessly integrate with the existing tools organizations rely on, such as CRMs, ERPs, document management systems, and communication applications, facilitating automation without the need to overhaul current processes. These modules function as an “AI workforce layer” that efficiently manages tasks across various domains, including sales, operations, data management, and knowledge sharing, enabling teams to minimize tedious manual tasks and concentrate on more strategic initiatives. Additionally, the platform includes specialized agents that handle diverse functions like lead generation, meeting summaries, CRM updates, product data management, document creation and translation, as well as automated communication with customers. By incorporating knowledge-management capabilities, Bandits empowers users to securely access and query company data across their internal systems, significantly streamlining information retrieval and enhancing decision-making processes. Overall, Bandits serves as a comprehensive solution for businesses aiming to leverage AI technology to optimize their workflows and drive productivity.

A change data capture (CDC), replication, and synchronization solution for hybrid estates. It securely captures and applies sub-second data changes across mainframe, distributed, and cloud systems—enabling real-time and bidirectional replication where needed—so analytics, AI, and operational apps run on current data. Key capabilities: • Real-time CDC capture/apply with low latency • Bidirectional replication and sync across heterogeneous endpoints • Mainframe-to-cloud replication for modernization and migrations • High-throughput pipelines with minimal disruption to production workloads • Delivery to modern targets (e.g., Snowflake, AWS) without custom code • Security + resilience: encryption and built-in recovery controls Outcomes: fresher data for AI/analytics, faster modernization, and lower mainframe CPU by offloading downstream processing to cloud compute.

Snapper serves as a comprehensive security platform for AI agents, aimed at ensuring thorough governance and protection for organizations that utilize AI across various applications, networks, and systems. It implements runtime enforcement by scrutinizing every action an agent takes, such as tool interactions, API calls, and data access requests, prior to execution, utilizing a multi-layered policy-driven rule engine. Additionally, Snapper provides a holistic view of AI activity by analyzing network traffic, browser usage, DNS queries, and running processes to uncover unauthorized tools and hidden AI applications. It also proactively intercepts outgoing large language model requests via SDK wrappers and a network proxy, allowing it to assess, redact, and document sensitive information in real time. Enhancing its security features, Snapper possesses sophisticated threat detection mechanisms that can recognize prompt injection tactics, exploit chains, unusual behaviors, and complex attack patterns, leveraging behavioral baselines, kill chain analysis, and a composite trust scoring system for robust protection. Ultimately, Snapper represents a critical asset for organizations seeking to navigate the risks associated with AI deployment while maintaining operational integrity.

American Cloud is a modern cloud hosting platform built to give businesses greater control, flexibility, and cost savings when managing their infrastructure. It provides a full suite of services, including virtual machines, managed databases, object storage, Kubernetes, and load balancing. One of its key advantages is the absence of egress fees, allowing companies to transfer data without unexpected costs. The platform is designed with a focus on ownership and independence, ensuring users maintain control over their applications and data. American Cloud also emphasizes reliable, human-centered technical support, offering direct assistance from experienced engineers. It supports scalability through features like auto-scaling and distributed traffic management, making it suitable for growing applications. The platform includes managed services such as WordPress hosting and database management to reduce operational complexity. Businesses can migrate from other cloud providers using a guided process that includes assessment, planning, testing, and optimization. American Cloud also prioritizes infrastructure reliability with secure data centers and high uptime. Its roadmap includes continuous improvements such as enhanced APIs and automation tools. Overall, American Cloud offers a powerful, cost-efficient alternative to major cloud providers with a focus on performance, control, and scalability.

Hyper is an innovative internal developer platform powered by AI, aimed at enabling enterprise teams to rapidly create custom software, internal tools, and applications with enhanced efficiency and scalability. Serving as a “first-mile” engine in the software development process, it empowers organizations to convert structured business logic into fully operational applications that are owned by developers, utilizing AI-driven scaffolding. This platform prioritizes both speed and autonomy, allowing teams to develop secure and scalable solutions within days while retaining complete control over their systems without depending on third-party vendors. Hyper is designed to eliminate disjointed workflows and temporary prototypes, offering a unified architecture that reflects an organization’s internal framework, standards, and procedures. Additionally, it introduces a contextual system where interactions, memory, and business logic are organized to enable AI agents to not only access data but also to analyze and engage in the execution of processes. By fostering a collaborative environment, Hyper enhances the overall software development experience for teams.

Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.

Actian AI Analyst serves as a conversational analytics platform that is context-aware, aimed at empowering organizations to derive reliable insights from their data through natural language interactions. By enabling business users to pose inquiries without the need for SQL, it revolutionizes conventional dashboards into dynamic, ongoing dialogues with data. Before any analysis is performed, it functions on a governed semantic layer that encapsulates business metrics, relationships, and definitions, thereby ensuring that each query aligns with the organization's operational framework. This semantic layer is generated and upheld by the Steward AI agent, which persistently tracks data definitions and their interconnections, offering actionable plans for maintaining accuracy over time. Additionally, AI Analyst retains the conversational context in follow-up questions, facilitating a more profound investigation while ensuring that results remain consistent with established business logic. Its intuitive design fosters a seamless user experience, making data interactions more accessible and insightful for all business users.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

Diom serves as a comprehensive platform for backend components that facilitates the creation of resilient services, providing a suite of seamlessly integrated infrastructure tools tailored for backend and data engineers, such as caching, key-value storage, rate-limiting, idempotency, queues, and streams. This platform is crafted to eliminate the need for engineers to construct fragile, slow, and cumbersome solutions atop systems like Redis, Postgres, or other data stores, enabling them to instead benefit from powerful, efficient, and thoroughly tested components designed for prevalent backend patterns. By utilizing Diom, organizations can consolidate multiple services, including Redis, RabbitMQ, and Kafka, for various applications, leading to a significant reduction in service dependencies, operational complexity, monitoring demands, backup requirements, configuration efforts, and overall deployment expenses. Its components are optimized for low-latency performance, feature minimal round-trip times, provide HTTP-based APIs, and come with SDKs for widely-used programming languages, all while being deployable in standard backend environments. Additionally, Diom’s cohesive architecture ensures that engineers can focus more on innovation rather than maintenance, thus enhancing overall productivity.

GuardionAI serves as an Agent and MCP Security Gateway, delivering comprehensive security for AI agents and Model Context Protocol tools that interact with enterprise data. Positioned within the execution path, it effectively identifies and redacts sensitive information, implements protective measures, and offers enhanced visibility into activities that conventional SIEM, DLP, and identity frameworks typically miss. Every action performed by agents is meticulously scrutinized, enforced, and logged at the protocol level, encompassing AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is designed to counteract critical AI vulnerabilities including prompt injection, system overrides, web-based assaults, MCP tool tampering, malicious code execution, exposure of NSFW content, leakage of PII and credentials, unauthorized access to confidential data, off-topic drift, and breaches of access control, all aligned with the OWASP LLM Top 10 and agentic AI threat frameworks. Notably, the gateway offers a robust four-layer protection system, ensuring that organizations can safeguard their AI assets more effectively than ever before. This multifaceted approach not only enhances security but also empowers teams with the insights needed to navigate the complexities of modern AI environments.

Intellistack Streamline is an AI-powered workflow automation platform that helps organizations modernize outdated business processes while maintaining high standards of data security. The platform combines workflow automation, document generation, contract lifecycle management, eSignature capabilities, and system integrations into a single no-code environment. Organizations can connect business systems, databases, healthcare platforms, CRMs, and collaboration tools to automate workflows and eliminate manual data entry. Intellistack Streamline is built with a data-safety-first approach, ensuring that security and compliance remain foundational components of every workflow. The platform supports industries such as healthcare, higher education, finance, legal services, human resources, and operations where secure information handling is critical. Users can create digital forms, automate approvals, manage referrals, coordinate onboarding processes, track applications, and streamline contract management without relying on extensive technical resources. Its contract lifecycle management capabilities include document generation, redlining, AI-guided playbooks, status tracking, and workflow automation. The platform also helps organizations reduce software sprawl by consolidating multiple vendors and disconnected applications into a unified solution. Intellistack Streamline enables teams to improve productivity, reduce operational risk, enhance data governance, and create more efficient business processes.

CapRover is an open-source platform as a service that is scalable, complimentary, and self-hosted, designed to simplify the management of applications, databases, and web servers significantly. Tailored for a variety of programming languages such as Node.js, Python, PHP, ASP.NET, and Ruby, as well as databases like MySQL, MongoDB, and Postgres, it provides developers with an efficient pathway to transition from their local environment to a live HTTPS domain almost instantaneously. The platform is highly efficient and dependable, leveraging technologies such as Docker, Nginx, Let’s Encrypt, and NetData, while offering a user-friendly experience through its web interface and command-line interface for automation purposes. By using CapRover, developers can save countless hours that would otherwise be spent on configuring servers, building tools, setting up SSL certificates, creating Nginx rules, and writing deployment scripts, allowing them to concentrate more on crafting application code instead of dealing with server management. Additionally, CapRover accommodates any programming language, supports one-click applications, offers free SSL with automatic redirection from HTTP to HTTPS, and presents multiple deployment options, including direct uploads from the dashboard or utilizing the CapRover deploy command, enhancing the overall development workflow. Overall, this platform stands out as a powerful tool for developers seeking both efficiency and flexibility in their application deployment process.

Easypanel is an advanced control panel designed for server management, leveraging Docker technology to streamline the deployment of applications, database management, and SSL certificate provisioning via a user-friendly interface. What sets Easypanel apart from many other control panels is its versatility, as it can handle any application type while generating Docker images for various programming languages such as Node.js, Ruby, Python, PHP, Go, and Java using Heroku Buildpacks. Additionally, it allows users to incorporate their custom Dockerfiles for those who require more specific configurations. Developers can easily push their code to GitHub, enabling Easypanel to fetch, build, and deploy it automatically, all while ensuring zero-downtime updates for a seamless user experience. The platform also accommodates Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, providing teams with multiple options for transforming their source code into Docker images. Furthermore, Easypanel treats databases as integral components, offering robust support for MySQL, PostgreSQL, MongoDB, and Redis, along with web-based tools that facilitate log inspection and database CLI access, ensuring that developers have everything they need at their fingertips for effective application management. Overall, Easypanel combines powerful features and ease of use, making it a compelling choice for modern development teams.

DeepJudge serves as the essential AI platform for legal practitioners, utilizing cutting-edge enterprise search technology to provide instant access to a firm's accumulated institutional knowledge. This innovative tool aids law firms and internal legal departments in converting their shared expertise into organized, regulated intelligence that can enhance search capabilities, support AI-driven applications, streamline multi-step workflows, and facilitate LLM agents. With a retrieval-first approach, DeepJudge seamlessly integrates AI workflows with the complete range of a firm's internal assets, such as documents, precedents, insights, and work products, all without necessitating any restructuring or data uploads into a distinct system. Its Knowledge Search feature identifies and presents the most pertinent documents from a firm's repositories, ensuring that generative AI outputs remain anchored in factual enterprise data, thereby minimizing the potential for hallucinations. In addition, DeepJudge AI Workflows empower teams to design, implement, manage, and govern AI agents that carry out intricate legal tasks with both transparency and accuracy. By leveraging this platform, legal professionals can significantly enhance their operational efficiency and decision-making capabilities.

Utilize Dell EMC NetWorker software for comprehensive backup and recovery solutions tailored to your enterprise applications and databases. Featuring centralized management, NetWorker allows you to leverage optimal data protection methods suited to your requirements, such as deduplication, backups to disk or tape, snapshots, replication, and support for NAS. It secures both physical and virtual environments, including platforms like VMware and Microsoft Hyper-V. Whether your data and applications are housed in your data center or in the cloud, NetWorker ensures a consistent enterprise-grade user experience. With its cloud capabilities, NetWorker provides an effective solution for safeguarding data across various environments, ensuring your information is protected at all times. Additionally, NetWorker is offered as a virtual edition or as part of the Dell EMC Data Protection Suite, giving you access to an extensive range of data protection software solutions tailored to your organizational needs. This versatility makes NetWorker an essential tool for modern data management.

The Gamification-Engine (gengine) is an open-source software project licensed under MIT that allows for the incorporation of various gamification elements into your product. Unlike traditional platforms, it does not come with pre-packaged graphics, layouts, or statistics, but rather serves as a framework for you to create a tailored solution, communicating with your application server via a REST API. The engine supports a variety of achievement structures including multi-level achievements, multi-goal achievements, single goals, and leaderboards that can be evaluated on a daily, weekly, monthly, or yearly basis, all while maintaining time zone independence. It also offers features that promote social interaction, such as competing for the highest score among friends, as well as geo-awareness, allowing users to see how they rank against others in their locality. Users can define custom rules in Python, utilizing variables such as the current level, as well as setting unique achievement properties and rewards that can be tailored to specific needs, including options for custom languages and translations. This flexibility makes the gengine a powerful tool for developers looking to enhance user engagement through gamification.

PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.

Gain valuable insights by harnessing a vast array of data generated by humans. This includes information sourced from social media platforms, blogs, news articles, and various other mediums. By consolidating social, blog, and news data into a central repository, you can access both real-time and historical information derived from billions of data points. The platform processes and enhances this data instantaneously, ensuring precise analysis. With DataSift, you can seamlessly integrate Human Data into your business intelligence (BI) systems and operational workflows in real-time. Moreover, our robust API empowers you to create custom applications tailored to your needs. Human Data represents the most rapidly expanding category of information, encompassing the full range of content generated by individuals, no matter the format or delivery channel. This includes text, images, audio, and video shared across social networks, blogs, news outlets, and within organizational environments. The DataSift Human Data platform integrates all these diverse data sources—both real-time and historical—into a single location, revealing their significance and enabling their application throughout your business landscape. By leveraging this data, organizations can drive innovation and informed decision-making effectively.

A version of PostgreSQL enhanced with security, DBA, and Developer features as well as Oracle database compatibility. Kubernetes allows you to manage deployment, high availability, and automated failover. Postgres containers are lightweight and immutable, allowing you to deploy anywhere. Automate failover, switchovers, backups, recovery and rolling updates. You can move your images and operators to any cloud, so you don't have to be locked in. Our experts can help you overcome containerization and Kubernetes issues. Oracle compatibility allows you to leave your legacy database behind without having to start from scratch. Migrate client applications and databases faster with fewer problems. Tuning and boosting performance can improve the end-user's experience. Deployment on-premises or in the cloud is possible. In a world in which downtime can lead to revenue loss, High-Availability is essential for business continuity.

Kwok is a comprehensive open-source IT management application initially created to assist IT experts in monitoring hardware and software assets. Over time, various modules have been integrated to enhance the management of information pertinent to IT activities. The Kwok Information Server, as an open-source solution, leverages technologies like Java, Tomcat, and PostgreSQL to offer a unified platform for overseeing hardware inventories, software licenses, issues, service contracts, and vendor relationships. Moreover, it includes supplementary modules such as a knowledge base, a user portal, RSS feeds, and blogging features, further expanding its capabilities. This evolution demonstrates Kwok's adaptability to the changing needs of IT management.

Rally is an advanced platform specifically designed to enhance the scalability of agile development methodologies within enterprises. By fostering enterprise agility, your organization can make quicker and more informed choices. For development efforts to effectively support your company's core objectives, it is crucial that they are closely aligned with these goals. This alignment allows daily tasks to be guided by strategic priorities while utilizing data to promote a culture that values outcomes. Serving as a centralized resource, Rally enables teams to collaboratively plan, prioritize, and monitor their work in a synchronized manner. Teams have the ability to visualize their tasks through various formats such as lists, boards, or timeline views, and, even more significantly, they can grasp how their everyday activities contribute to the broader business objectives. Are you facing challenges in managing dependencies and risks across various teams or delivery units? Rally offers detailed insights into progress, dependencies, alignment, and overall plan health, empowering teams to make deliberate choices and maintain a relentless focus on delivering value. With its comprehensive features, Rally not only enhances visibility but also promotes a cohesive work environment that drives results.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

Software systems designed for radiology and various medical disciplines that require image processing are available. CHILI systems are built with a flexible modular architecture, allowing them to expand according to evolving needs. They support data from all DICOM modalities, as well as non-DICOM formats like photos, videos, and biosignals such as ECG. These essential systems incorporate a redundancy strategy to ensure continuous operation. Their capabilities extend beyond just radiological images, encompassing all multimedia data within a healthcare facility, from radiological images to digital films, biosignals, and various document formats. With web-based image distribution, images can be accessed from any location within the institution at all times. This system centralizes key functions and provides inter-site access to all data. Furthermore, it consolidates all the information from a multi-site institution into a single comprehensive multi-tenancy archive, making it a versatile solution for various medical imaging needs. Thus, the system not only streamlines operations but also enhances accessibility and collaboration across medical teams.

WhereScape is a tool that helps IT organizations of any size to use automation to build, deploy, manage, and maintain data infrastructure faster. WhereScape automation is trusted by more than 700 customers around the world to eliminate repetitive, time-consuming tasks such as hand-coding and other tedious aspects of data infrastructure projects. This allows data warehouses, vaults and lakes to be delivered in days or weeks, rather than months or years.