Business Software for PostgreSQL

The volume of data continues to increase, yet not all data carries the same significance. Companies that embrace cloud data management can effectively lower their enterprise data management expenses while ensuring security, compliance, high performance, and straightforward accessibility. As time passes, the value of content diminishes; however, organizations can still generate revenue from older data using innovative SaaS-based solutions. SOLIXCloud provides all the necessary features to achieve an ideal equilibrium between managing both historical and current data. In addition to its robust compliance functionalities for structured, unstructured, and semi-structured data, SOLIXCloud presents a comprehensive managed service for all types of enterprise data. Furthermore, Solix's metadata management framework serves as a complete solution for analyzing all enterprise metadata and lineage from a single, centralized repository, supported by a comprehensive business glossary that enhances organizational efficiency. This holistic approach allows businesses to derive insights from their data, regardless of its age.

EMS DB Extract for PostgreSQL stands out as a powerful yet user-friendly solution for generating backups of PostgreSQL databases in the format of SQL scripts. This utility is designed to capture the metadata of all database objects alongside the actual table data, creating a comprehensive snapshot of the database. It ensures that the scripts are generated in the appropriate sequence, taking into account their dependencies. With options for extensive customization, users can choose which objects and tables to include in their dumps and adjust various settings to suit their needs. The tool also features a graphical wizard that provides a step-by-step guide through the extraction process, as well as a command-line interface for quick backups with a single command. Additionally, it offers the capability to extract database objects in dependency order, as well as options for compressing the output script and dividing it into smaller volumes for easier management. This makes EMS DB Extract for PostgreSQL an invaluable asset for anyone looking to secure their database efficiently.

ScienceDesk's data automation simplifies the integration of artificial intelligence within the field of materials science. This tool serves as a practical solution for teams to consistently implement and utilize the latest AI algorithms in their daily workflows. It features customizable attributes, universal identifiers, QR codes, and a robust search engine that connects sample data with experimental results. As a groundbreaking platform, ScienceDesk facilitates collaboration among scientists and engineers, allowing them to engage with and glean insights from their experimental findings. However, the full potential of this resource remains untapped due to the diverse data formats and a reliance on specialists to manually retrieve targeted information. The ScienceDesk research data management system addresses this challenge by merging documentation with data analysis within a thoughtfully designed data structure. Our algorithms empower researchers and scientists, granting them comprehensive command over their data. They can not only exchange datasets but also share their analytical expertise, fostering a more collaborative research environment. Overall, ScienceDesk enhances data accessibility and encourages innovative approaches in scientific investigation.

Enhance your understanding of documents and make informed decisions with assurance. Are you weary of the challenges posed by manual processing, tight deadlines, budget constraints, and constantly evolving compliance regulations? Effortlessly collect and integrate your cloud expenditure data in half the time and at a fraction of the cost. With suggested cost reductions and expert advice, you could potentially save over 50% on your total expenses. Achieve comprehensive visibility of your cloud spending through KPI monitoring, real-time analytics, and actionable recommendations. Experience built-in reassurance with security and compliance measures designed to adhere to any regulatory standards. You can gather data through various channels, including portals, emails, APIs, repositories, tables, data lakes, or third-party sources. The automated AI-driven intelligent document processing minimizes manual workload, while the smart review of document knowledge detects anomalies, duplicates, and mistakes. Utilize ScriptString's Knowledge Relationship Indexing to effortlessly pinpoint critical information amidst vast data sets. This innovative approach not only streamlines your processes but also transforms the way you manage your cloud spending.

jEdit stands out as a well-established text editor for programmers, boasting a development history that spans hundreds of person-years, especially when factoring in the creation of plugins. This robust editor surpasses many costly alternatives in terms of functionality and user-friendliness, all while being offered as free software with complete source code under the GPL 2.0 license. It includes a built-in macro language and an extensible architecture for plugins, with a vast selection of macros and plugins readily available. Users can easily download and install these plugins directly from jEdit through the convenient "plugin manager" feature. Additionally, jEdit supports a wide variety of character encodings, such as UTF-8 and Unicode, making it highly versatile. It is designed to be configurable and customizable, encompassing all the essential and advanced features one would anticipate in a modern text editor, ensuring it meets the diverse needs of its users. As a result, jEdit remains a compelling choice for developers seeking a powerful yet accessible tool for their coding tasks.

By selecting Navisite as your managed hosting provider, you gain access to a secure, economical, and dependable hosting environment, but you also acquire a strategic partner dedicated to enhancing your IT strategy. We provide tailored hosting solutions that cater to your specific business requirements through a diverse array of offerings, including cloud services, dedicated servers, colocation, private virtualization, and managed hosting. Our robust infrastructure is spread across data centers located in both the U.S. and U.K., accommodating projects of all sizes and complexities. With round-the-clock support from a seasoned team boasting decades of experience and over 1,500 IT certifications, you can trust our industry-leading 99.99% SLA guarantee, which is financially backed for your peace of mind. Take advantage of a fully managed hosting solution, along with dedicated servers and comprehensive network and storage options. This enables your internal teams to concentrate on innovation rather than managing the infrastructure, ensuring that your business remains agile and competitive in a rapidly changing environment.

A robust "virtual data center" solution tailored for the administration, deployment, and management of sophisticated web services. It efficiently supports a variety of servers, intricate deployments, geo-distributed systems, disaster recovery/high availability setups, and beyond. Equipped with the latest hypervisor technology and rapid, scalable SSD block storage, it provides a reliable foundation for websites, web applications, and online services. The platform accommodates large, customizable virtual servers that can be modified at any moment, making it ideal for demanding workloads. Leveraging cutting-edge hypervisors and high-speed, expandable SSD block storage, it is poised to meet the needs of modern enterprises. This next-gen system facilitates the development, swift deployment, and seamless operation of mission-critical applications. With excellent vertical and horizontal autoscaling capabilities, it boasts strong support for languages and frameworks including Java, PHP, Ruby, Python, Node.js, Golang, as well as container orchestration tools like Docker and Kubernetes. Our offerings also encompass optional services designed to guarantee security, performance, availability, and hassle-free management. We pride ourselves on delivering tailored solutions that address your specific needs, whether it’s for backup solutions, VPN services, high uptime requirements, or data protection strategies. Let us partner with you to enhance your infrastructure and ensure that your services run smoothly and efficiently.

Enhance customer experiences with full transparency through infrastructure-as-code solutions. Blotout's SDK equips businesses with familiar analytics and remarketing capabilities while prioritizing top-notch privacy for users. Designed to comply with GDPR, CCPA, and COPPA right from the start, Blotout’s SDK leverages on-device, distributed edge computing to conduct analytics, messaging, and remarketing without compromising personal data, device identifiers, or IP addresses. Achieve comprehensive customer insights by measuring, attributing, optimizing, and activating customer data with total coverage. It is the only platform that seamlessly integrates the entire customer lifecycle by consolidating event data along with both online and offline sources. Cultivating a trustworthy data relationship with customers fosters loyalty and ensures adherence to GDPR and other international privacy regulations, thereby enhancing your brand's reputation.

Hudi serves as a robust platform for constructing streaming data lakes equipped with incremental data pipelines, all while utilizing a self-managing database layer that is finely tuned for lake engines and conventional batch processing. It effectively keeps a timeline of every action taken on the table at various moments, enabling immediate views of the data while also facilitating the efficient retrieval of records in the order they were received. Each Hudi instant is composed of several essential components, allowing for streamlined operations. The platform excels in performing efficient upserts by consistently linking a specific hoodie key to a corresponding file ID through an indexing system. This relationship between record key and file group or file ID remains constant once the initial version of a record is written to a file, ensuring stability in data management. Consequently, the designated file group encompasses all iterations of a collection of records, allowing for seamless data versioning and retrieval. This design enhances both the reliability and efficiency of data operations within the Hudi ecosystem.

Circonus IRONdb simplifies the management and storage of limitless telemetry data, effortlessly processing billions of metric streams. It empowers users to recognize both opportunities and challenges in real time, offering unmatched forensic, predictive, and automated analytics capabilities. With the help of machine learning, it automatically establishes a "new normal" as your operations and data evolve. Additionally, Circonus IRONdb seamlessly integrates with Grafana, which natively supports our analytics query language, and is also compatible with other visualization tools like Graphite-web. To ensure data security, Circonus IRONdb maintains multiple copies across a cluster of IRONdb nodes. While system administrators usually oversee clustering, they often dedicate considerable time to its upkeep and functionality. However, with Circonus IRONdb, operators can easily configure their clusters to run autonomously, allowing them to focus on more strategic tasks rather than the tedious management of their time series data storage. This streamlined approach not only enhances efficiency but also maximizes resource utilization.

QuestDB is an advanced relational database that focuses on column-oriented storage optimized for time series and event-driven data. It incorporates SQL with additional features tailored for time-based analytics to facilitate real-time data processing. This documentation encompasses essential aspects of QuestDB, including initial setup instructions, comprehensive usage manuals, and reference materials for syntax, APIs, and configuration settings. Furthermore, it elaborates on the underlying architecture of QuestDB, outlining its methods for storing and querying data, while also highlighting unique functionalities and advantages offered by the platform. A key feature is the designated timestamp, which empowers time-focused queries and efficient data partitioning. Additionally, the symbol type enhances the efficiency of managing and retrieving frequently used strings. The storage model explains how QuestDB organizes records and partitions within its tables, and the use of indexes can significantly accelerate read access for specific columns. Moreover, partitions provide substantial performance improvements for both calculations and queries. With its SQL extensions, users can achieve high-performance time series analysis using a streamlined syntax that simplifies complex operations. Overall, QuestDB stands out as a powerful tool for handling time-oriented data effectively.

Instainer is a cloud-based Docker container hosting platform that enables users to deploy any Docker container instantly using a Heroku-style Git deployment approach. During our transition to Docker within the company, we realized that there was a gap in immediate access to containers, despite Docker offering exceptional capabilities for our DevOps team. To address this need, we created Instainer specifically for engineers seeking to quickly run Docker containers in the cloud. We highly encourage your input and insights to enhance our service. Instainer facilitates Heroku-style Git deployment for your containers, and once you launch a container, it automatically generates a Git repository, pushing the container's data into it for seamless management. Users can effortlessly clone and modify their data through Git, allowing for efficient development workflows. Additionally, Instainer supports the WordPress content management system, enabling the use of plugins, widgets, and themes to enrich user experience and functionality. Our aim is to streamline the deployment process and empower developers with rapid and flexible container management.

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.