Business Software for PostgreSQL

Eliminate data outages by proactively identifying and resolving data quality problems before they enter production. Achieve full test coverage of your data pipelines in just one day, going from 0 to 100%. With automatic regression testing across billions of rows, understand the impact of each code modification. Streamline change management processes, enhance data literacy, ensure compliance, and minimize the time taken to respond to incidents. Stay ahead of potential data issues by utilizing automated anomaly detection, ensuring you're always informed. Datafold’s flexible machine learning model adjusts to seasonal variations and trends in your data, allowing for the creation of dynamic thresholds. Save significant time spent analyzing data by utilizing the Data Catalog, which simplifies the process of locating relevant datasets and fields while providing easy exploration of distributions through an intuitive user interface. Enjoy features like interactive full-text search, data profiling, and a centralized repository for metadata, all designed to enhance your data management experience. By leveraging these tools, you can transform your data processes and improve overall efficiency.

The Qualis document management system offers a secure method for managing documentation while allowing for regulated distribution to end-users. It features a workflow-driven document approval process that includes revision tracking, ensuring that end users always have access to the most current approved document, thereby minimizing the chance of using outdated materials. The workflow can be tailored to specific roles, accommodating various organizational needs, and multiple workflows can be implemented to correspond with different document types. This system not only helps in conserving paper and storage space but also ensures secure storage and easy recovery of documents. By distributing only approved documentation, it significantly lowers the risk of circulating outdated copies. Additionally, it enhances regulatory compliance by providing controlled access and facilitating straightforward search capabilities. All metadata is stored in a centralized database, which is flexible and supports various database systems, including MS SQL, Oracle, and Postgre SQL. Overall, Qualis DMS serves as a comprehensive solution for organization-wide document management and regulated distribution, streamlining the entire process for better efficiency and compliance. Ultimately, it establishes a unified platform that integrates all aspects of document management and oversight.

Varada offers a cutting-edge big data indexing solution that adeptly balances performance and cost while eliminating the need for data operations. This distinct technology acts as an intelligent acceleration layer within your data lake, which remains the central source of truth and operates within the customer's cloud infrastructure (VPC). By empowering data teams to operationalize their entire data lake, Varada facilitates data democratization while ensuring fast, interactive performance, all without requiring data relocation, modeling, or manual optimization. The key advantage lies in Varada's capability to automatically and dynamically index pertinent data, maintaining the structure and granularity of the original source. Additionally, Varada ensures that any query can keep pace with the constantly changing performance and concurrency demands of users and analytics APIs, while also maintaining predictable cost management. The platform intelligently determines which queries to accelerate and which datasets to index, while also flexibly adjusting the cluster to match demand, thereby optimizing both performance and expenses. This holistic approach to data management not only enhances operational efficiency but also allows organizations to remain agile in an ever-evolving data landscape.

PostGIS serves as an extension for the PostgreSQL object-relational database, enhancing its capabilities with spatial features that enable the execution of geographic queries in SQL. Beyond just fundamental location functionalities, it provides a variety of advanced tools and features that are less common in other spatial databases like Oracle Locator/Spatial and SQL Server. Additionally, with PostgreSQL 14, PostGIS can take advantage of the improved GiST building support API, which significantly boosts performance. When compiled with the latest GEOS 3.10.1, users can benefit from enhancements in the ST_MakeValid function along with various speed optimizations, making it a powerful choice for handling spatial data effectively. This ensures that developers and analysts can work with geospatial data in a more efficient and streamlined manner.

Consolidate, assess, and display all your data within a single spreadsheet environment. With just a few clicks, you can link your data without needing to write any code. Effortlessly merge and fill in company information from over 20 widely-used databases and SaaS platforms, such as Facebook, Google, and Snowflake. Design the dashboards you wish to distribute, eliminating the hassle of unattractive charts and tedious formatting tasks. Seamlessly integrate data from various sources, similar to how you would with Excel or Google Sheets. You can manipulate your data to create different perspectives, allowing you to construct a dashboard faster than you can file a Jira ticket. Our system proxies requests to external databases to monitor activities and securely transmits your credentials via the server-side. Importantly, none of the information retrieved from your databases or third-party SaaS services is stored on Lido's servers. We ensure all data is encrypted, meaning your information in transit is protected with TLS, while your stored data is safeguarded using AES-256 encryption, rendering it inaccessible to unauthorized individuals. Additionally, this robust security framework provides peace of mind as you manage your data.

SQLAlchemy serves as a Python toolkit for SQL and an object-relational mapper, allowing developers to harness the complete capabilities of SQL with great flexibility. As the size and performance of SQL databases become critical, they tend to deviate from functioning merely as object collections; similarly, when abstraction is prioritized, object collections lose their resemblance to traditional tables and rows. SQLAlchemy seeks to bridge these opposing principles effectively. It views the database as a relational algebra engine rather than simply a set of tables, enabling selection of rows not only from tables but also from joins and various select statements, which can be integrated into more complex structures. The expression language of SQLAlchemy is built upon this foundational idea, enhancing its functionality. Additionally, SQLAlchemy is widely recognized for its object-relational mapper (ORM) feature, which is an optional element that implements the data mapper pattern, providing a robust framework for developers to work with databases seamlessly. This dual functionality of SQLAlchemy makes it a versatile tool for both simple and intricate database interactions.

As interactions with customers increasingly transition from physical to digital environments, it becomes necessary to move beyond traditional face-to-face conversations. Instead, customers now convey their preferences and requirements through data. Gaining insights into customer behavior and validating our preconceptions about them also relies heavily on data-driven approaches. However, stringent privacy laws like GDPR and CCPA complicate this deep understanding even further. The MOSTLY AI synthetic data platform effectively addresses this widening gap in customer insights. This reliable and high-quality synthetic data generator supports businesses across a range of applications. Offering privacy-compliant data alternatives is merely the starting point of its capabilities. In terms of adaptability, MOSTLY AI's synthetic data platform outperforms any other synthetic data solution available. The platform's remarkable versatility and extensive use case applicability establish it as an essential AI tool and a transformative resource for software development and testing. Whether for AI training, enhancing explainability, mitigating bias, ensuring governance, or generating realistic test data with subsetting and referential integrity, MOSTLY AI serves a broad spectrum of needs. Ultimately, its comprehensive features empower organizations to navigate the complexities of customer data while maintaining compliance and protecting user privacy.

GNUPanel serves as a fully free alternative (under the GPL) for automating web hosting server management. Currently, its version is tailored for Debian systems, but a comprehensive code overhaul is anticipated in the coming months, promising numerous enhancements and modifications. This application is primarily developed in PHP 5 and is designed to operate on Debian GNU/Linux servers, supporting both 32-bit and 64-bit architectures. It features a conventional web interface that encompasses three distinct privilege levels: administrator, reseller, and user, all secured with SSL. Administrators possess the capabilities to establish both public and private hosting plans, process payments via Paypal, Digital Account, or DineroMail, communicate with users, utilize a built-in support ticket system, manage data transfer and disk space, and implement account suspension policies. Users benefit from standard functions such as creating email and FTP accounts, setting up databases, managing redirects, and securing directories. Moreover, the system's flexibility allows for tailored configurations, enhancing the overall user experience.

Hologres is a hybrid serving and analytical processing system designed for the cloud that integrates effortlessly with the big data ecosystem. It enables users to analyze and manage petabyte-scale data with remarkable concurrency and minimal latency. With Hologres, you can leverage your business intelligence tools to conduct multidimensional data analysis and gain insights into your business operations in real-time. This platform addresses common issues faced by traditional real-time data warehousing solutions, such as data silos and redundancy. Hologres effectively fulfills the needs for data migration while facilitating the real-time analysis of extensive data volumes. It delivers responses to queries on petabyte-scale datasets in under a second, empowering users to explore their data dynamically. Additionally, it supports highly concurrent writes and queries, reaching speeds of up to 100 million transactions per second (TPS), ensuring that data is immediately available for querying after it’s written. This immediate access to data enhances the overall efficiency of business analytics.

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

Wallaroo streamlines the final phase of your machine learning process, ensuring that ML is integrated into your production systems efficiently and rapidly to enhance financial performance. Built specifically for simplicity in deploying and managing machine learning applications, Wallaroo stands out from alternatives like Apache Spark and bulky containers. Users can achieve machine learning operations at costs reduced by up to 80% and can effortlessly scale to accommodate larger datasets, additional models, and more intricate algorithms. The platform is crafted to allow data scientists to swiftly implement their machine learning models with live data, whether in testing, staging, or production environments. Wallaroo is compatible with a wide array of machine learning training frameworks, providing flexibility in development. By utilizing Wallaroo, you can concentrate on refining and evolving your models while the platform efficiently handles deployment and inference, ensuring rapid performance and scalability. This way, your team can innovate without the burden of complex infrastructure management.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.

TidalScale's innovative software-defined servers mark a significant advancement in the realm of computing technology. By effectively "gluing" together commodity servers, TidalScale's software enables them to operate as a unified system. This process is achieved by aggregating and virtualizing the CPU cores, memory, and I/O from several physical servers, which are then presented to the operating system as a single cohesive "software-defined server." With the introduction of TidalGuard™ technology, the system allows for the hot-swapping of individual servers, facilitating upgrades or repairs while ensuring that vital workloads remain uninterrupted. Remarkably, this process necessitates no modifications to either the application or the operating system. The integrated patented TidalGuard™ technology enhances the reliability of software-defined servers, as it can identify and prevent over 90% of hardware failures by enabling the hot-swap of a malfunctioning server with a backup. In the unlikely event of a server failure, the system is capable of quickly restarting using the spare, typically within just a few minutes, ensuring minimal disruption to operations. This cutting-edge approach not only optimizes performance but also significantly enhances system resilience in critical environments.

SaaS Boilerplate is the developer’s way out of the vicious circle of redeveloping dull and repetitive features. Never waste time on building features every SaaS includes. 5 SaaS' features in the 1 package. SaaS features' are ready to go: - Authorization (including OAuth and email verification), - Emails (templates and scheduling); - Payments (integration with Stripe services and its dashboard), - CMS integration with Contentful services, - Subscriptions. SaaS Boilerplate is developed by Apptension. Apptension is a digital product design and software development company established in Poland. Among its partners are Netflix, Viu, Less, Hoover Technology - Backend (Python, Django, Postgresql, Docker); - Frontend (React, Redux, Typescript, JSX); - Integrations (Contentful, Stripe, Sentry). SaaS Boilerplate by Apptension gives you a developer-friendly, AWS-based scalable infrastructure and pre-configured CI/CD. Check all features, infrastructure, CI/CD model, documentation, pricing, and case study. Have a questions, ask questions.

Baffle delivers comprehensive data protection solutions that secure data from any origin to any endpoint, allowing organizations to manage visibility over their information. Companies are continually facing cybersecurity challenges, including ransomware attacks, alongside the potential for losing their data assets in both public and private cloud environments. Recent changes in data management regulations and the necessity for enhanced protection have transformed the methods by which data is stored, accessed, and analyzed. By recognizing that data breaches are inevitable, Baffle aims to make such incidents insignificant, offering a crucial layer of defense that guarantees unprotected data remains inaccessible to malicious actors. Our solutions are designed to secure data right from its inception and maintain that security throughout its processing stages. With Baffle's dynamic data security framework applicable to both on-premises and cloud environments, users benefit from various data protection options. This includes the ability to safeguard information in real-time as it transitions from a source data repository to cloud databases or object storage, thereby enabling the safe handling of sensitive information. In this way, Baffle not only protects data but also enhances the overall trust in data management practices.

As various B2B solutions emerge to enhance corporate data, it becomes crucial to integrate these with existing management systems. This integration process demands modernization, scalability, and robust security measures. By streamlining application and data integration, your company can significantly cut IT expenses and lessen the time spent on these tasks. Additionally, using a platform that fully complies with the General Data Protection Law (LGPD) helps avoid potential fines. Enjoy access to a wide array of connectors available in a marketplace model, eliminating the need for extensive programming expertise. You will also benefit from improved management of your integrations, allowing for organized projects tailored to your needs. With our iPaaS solution, enjoy automatic real-time updates and keep track of system executions effortlessly, enhancing your operational efficiency. Ultimately, these tools empower businesses to focus on their core activities while ensuring compliance and integration success.

KubeSphere serves as a distributed operating system designed for managing cloud-native applications, utilizing Kubernetes as its core. Its architecture is modular, enabling the easy integration of third-party applications into its framework. KubeSphere stands out as a multi-tenant, enterprise-level, open-source platform for Kubernetes, equipped with comprehensive automated IT operations and efficient DevOps processes. The platform features a user-friendly wizard-driven web interface, which empowers businesses to enhance their Kubernetes environments with essential tools and capabilities necessary for effective enterprise strategies. Recognized as a CNCF-certified Kubernetes platform, it is entirely open-source and thrives on community contributions for ongoing enhancements. KubeSphere can be implemented on pre-existing Kubernetes clusters or Linux servers and offers options for both online and air-gapped installations. This unified platform effectively delivers a range of functionalities, including DevOps support, service mesh integration, observability, application oversight, multi-tenancy, as well as storage and network management solutions, making it a comprehensive choice for organizations looking to optimize their cloud-native operations. Furthermore, KubeSphere's flexibility allows teams to tailor their workflows to meet specific needs, fostering innovation and collaboration throughout the development process.

Experience effortless migration of your existing VM workloads with just one click, enabling seamless application mobility across on-premises and cloud environments. Why limit yourself to a one-directional cloud migration when you can enjoy ongoing mobility? Transition your workloads from on-premises to the cloud, between different cloud providers, or back again with ease. Choose your cloud strategy according to your needs. For effective business continuity, a multi-cloud strategy and application mobility are essential. Say goodbye to protracted and costly VM migration projects; Instashift offers a solution that automates the process at the click of a button. There’s no requirement for complicated techniques—migrate your VMs along with their applications, databases, and states effortlessly. Your applications can enjoy continuous mobility, allowing for quick relocations to the cloud or back to on-premises with a simple click. If you have thousands of VMs to transfer, Instashift provides a seamless automated solution tailored for you. This innovative platform serves sovereign and emerging cloud providers, equipping them with the same capabilities and flexibility that users have come to expect from leading public cloud services, ensuring that you stay ahead in the evolving digital landscape.

sqlmap is a freely available tool designed for penetration testing that streamlines the identification and exploitation of SQL injection vulnerabilities, enabling the takeover of database servers. It features a robust detection engine alongside an array of specialized tools tailored for experienced penetration testers, offering a comprehensive set of options that facilitate everything from database fingerprinting to retrieving data, as well as accessing the file system and executing commands on the OS through out-of-band methods. Additionally, sqlmap allows for direct database connections without relying on SQL injection by entering DBMS credentials, IP address, port, and the database name. It also automatically identifies various password hash formats and aids in cracking them using dictionary attacks. Users can opt to dump entire database tables, a selection of entries, or specific columns based on their preferences, and can even specify to extract only a certain range of characters from each entry within the columns. This extensive functionality makes sqlmap a valuable asset for security professionals seeking to test and secure their database systems.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

Invenis serves as a robust platform for data analysis and mining, enabling users to easily clean, aggregate, and analyze their data while scaling efforts to enhance decision-making processes. It offers capabilities such as data harmonization, preparation, cleansing, enrichment, and aggregation, alongside powerful predictive analytics, segmentation, and recommendation features. By connecting seamlessly to various data sources like MySQL, Oracle, Postgres SQL, and HDFS (Hadoop), Invenis facilitates comprehensive analysis of diverse file formats, including CSV and JSON. Users can generate predictions across all datasets without requiring coding skills or a specialized team of experts, as the platform intelligently selects the most suitable algorithms based on the specific data and use cases presented. Additionally, Invenis automates repetitive tasks and recurring analyses, allowing users to save valuable time and fully leverage the potential of their data. Collaboration is also enhanced, as teams can work together, not only among analysts but across various departments, streamlining decision-making processes and ensuring that information flows efficiently throughout the organization. This collaborative approach ultimately empowers businesses to make better-informed decisions based on timely and accurate data insights.

With industry-leading security and support, deploy and scale backups for clients. You pay nothing extra for data usage, and we charge a flat monthly fee per device. The Magnus Box team has been HIPAA-certified and trained. All data is encrypted and no personal information is exposed. These are the reasons Magnus Box was built. We tried several backup solutions but they either limit the amount of data you can back up or are too difficult or clunky. Magnus Box fills those gaps by being simple to use and allowing unlimited storage. Magnus Box is only available to technology service providers, computer repair professionals, and MSPs around the world. Magnus Box will not be sold directly to the public. Why are we doing this? We do this because we are there with you, trying to provide services for our clients while our providers were directly competing. Our team has extensive experience in the MSP industry.

We assist our clients in attaining exceptional efficiency and cost reductions for their private cloud or public cloud storage services. Through our innovative software-defined block storage solution, Lightbits, businesses can effortlessly expand their operations, enhance IT workflows, and cut expenses—all at the speed of local flash technology. This solution breaks the traditional ties between computing and storage, allowing for independent resource allocation that brings the flexibility and efficacy of cloud computing to on-premises environments. Our technology ensures low latency and exceptional performance while maintaining high availability for distributed databases and cloud-native applications, including SQL, NoSQL, and in-memory systems. As data centers continue to expand, a significant challenge remains: applications and services operating at scale must remain stateful during their migration within the data center to ensure that services remain accessible and efficient, even amid frequent failures. This adaptability is essential for maintaining operational stability and optimizing resource utilization in an ever-evolving digital landscape.

Kamailio® is an open-source SIP server, which evolved from the earlier OpenSER and SER, and is distributed under GPLv2+, capable of managing thousands of call setups each second. This robust platform can be utilized for constructing extensive systems for VoIP, real-time communication, presence, WebRTC, instant messaging, and various other applications. Additionally, Kamailio is well-suited for scaling SIP-to-PSTN gateways, PBX systems, or media servers such as Asterisk™, FreeSWITCH™, or SEMS with ease. Its extensive feature set includes support for asynchronous TCP, UDP, and SCTP, secure communication through TLS for voice, video, and text, as well as WebSocket compatibility for WebRTC. The server supports both IPv4 and IPv6, offers simple instant messaging and presence capabilities with an integrated XCAP server and MSRP relay, and enables asynchronous operations. Furthermore, it includes IMS extensions for VoLTE, ENUM functionality, DID and least cost routing, load balancing, and routing failover. Kamailio also provides comprehensive accounting, authentication, and authorization features, while supporting a variety of backend systems, including MySQL, Postgres, Oracle, Radius, LDAP, Redis, Cassandra, MongoDB, and Memcached. All these capabilities make Kamailio a versatile choice for modern communication infrastructures.

Eureka automatically detects all types and deployments of data stores, understands the data, and identifies your real-time risk. Eureka allows you to choose, customize, and create policies. These policies are automatically translated into platform-specific controls for all your relevant data stores. Eureka constantly compares the real-world implementation with the desired policy. It alerts on gaps and policy drift and recommends risk-prioritized remediations and actions. Know your entire cloud data storage footprint, data store content, security, and compliance risks. With agentless discovery and risk monitoring, you can quickly implement change. Continuously monitor, improve, and communicate cloud data security and compliance. Protect your data and allow you to access it with security measures that do not interfere with business agility or operations. Eureka provides broad visibility, policy and control management as well as continuous monitoring, alerting, and monitoring.