Best Data Management Software with a Free Trial of 2026 - Page 37

BestProxy provides a robust proxy infrastructure suitable for enterprises, featuring a vast network of over 80 million global IPs across more than 200 regions. This service offers various types of proxies, including residential, static residential, datacenter, and long-lasting ISP options, as well as scraper APIs that facilitate extensive data gathering, advertisement verification, brand safeguarding, market analysis, social media oversight, and ecommerce insights. Among its offerings are rotating and sticky sessions, precise targeting at the country, state, or city level, and support for HTTP/SOCKS5 protocols, all backed by impressive uptime and IP availability rates exceeding 99.9% and 99%, respectively, which contribute to effective human-like scraping and reliable identity protection. The integrated dashboard enables comprehensive management, including proxy user oversight, flexible bandwidth distribution, IP whitelisting, real-time usage metrics, and team collaboration features, while the platform's developer-friendly integrations and readily available code snippets streamline the onboarding process. Furthermore, it boasts advanced features such as detailed geographic filtering, unlimited simultaneous requests, immediate IP activation, and ongoing performance monitoring to enhance user experience. With these capabilities, BestProxy stands out as a powerful solution for anyone needing dependable and scalable proxy services.

Mobser is a cutting-edge platform that harnesses the power of artificial intelligence to provide smart data analytics solutions, allowing users to effortlessly craft insightful reports, engaging visualizations, and in-depth analytics. Aimed at converting raw data into meaningful insights, Mobser utilizes AI to automate the creation of detailed dashboards and data narratives. With a user-friendly interface, it enables rapid exploration, allowing individuals to upload datasets and immediately visualize trends, patterns, and anomalies using customizable, interactive charts. By combining data processing with intelligent insights, the platform enhances the decision-making process, empowering users to comprehend their information clearly, all without the need for advanced technical expertise. Moreover, Mobser's ability to adapt to various datasets ensures that users can always extract relevant insights tailored to their specific needs.

DocumentsPipeliner serves as a middleware solution hosted on a server, designed for the automated handling of incoming documents. It actively monitors various input channels, such as mailboxes (like Microsoft Exchange) and file directories, extracting email attachments, standardizing formats (for instance, PDF/A), and enhancing documents with relevant metadata from external systems when required. Subsequently, it transmits the processed information to designated systems, including M-Files, ABBYY FlexiCapture, or other document management and workflow solutions, according to established rules. By using DocumentsPipeliner, organizations can establish a centralized “digital mailroom” that streamlines routine document processing, ensures adherence to compliance standards, and establishes a robust foundation for consistent and scalable operational processes. This innovative approach not only enhances efficiency but also allows companies to better manage their document workflows.

DeepTagger is an innovative, no-code platform that utilizes artificial intelligence to transform various document types, such as PDFs, images, and Word files, into organized and actionable data using a user-friendly "highlight-and-label" system. Users simply upload their documents, select the relevant data points, and train the model through examples instead of relying on rigid templates, after which they can execute predictions, export their findings, and improve accuracy. The platform is designed to manage intricate structures, such as line items within invoices and tables within other tables, while also accommodating scanned documents and low-resolution images thanks to its powerful optical character recognition (OCR) capabilities. Additionally, DeepTagger includes functionalities for splitting multi-document PDFs, understanding intent and context, and position-aware extraction to differentiate repeated phrases for more precise data retrieval. Its pricing model is based on usage and offers a free tier for processing up to 200 documents, while higher subscription levels provide access to enhanced features, including batch prediction, nested schemas, priority support, a multi-tenant architecture, and compliance suitable for enterprise needs. Overall, DeepTagger stands out as a versatile solution for those looking to streamline their document processing and data extraction workflows.

Teable is a no-code application and database builder driven by AI, enabling users to seamlessly convert documents, spreadsheets, and unstructured data into dynamic databases, applications, automations, and workflows with ease. The platform fosters real-time collaboration while featuring advanced permissions (team synchronization) and authority matrices to ensure data governance and security. Users can create various representations of their data such as Kanban boards, calendars, galleries, forms, and grids, while also being able to connect and manage millions of rows without any decline in performance. Additionally, it offers robust dashboard analytics and automated workflows, which include triggers and condition-based actions, along with features like undo/redo/history, validation, linking, sorting, filtering, and formulas, empowering users to not only analyze but also take action on their data. Furthermore, Teable supports a range of AI models, including OpenAI, Claude, DeepSeek, and self-hosted LLMs, to facilitate intelligent data processing, and it also supports integrations with SQL databases or direct physical database connections. This comprehensive functionality makes Teable an invaluable tool for businesses looking to enhance their data management capabilities and streamline their operations.

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

BilberryDB is a robust vector-database solution tailored for enterprises, aimed at facilitating the development of AI applications that can manage various types of multimodal data, such as images, video, audio, 3D models, tabular data, and text, all within a single unified framework. It delivers rapid similarity search and retrieval through the use of embeddings, supports few-shot or no-code workflows that empower users to establish effective search and classification functionalities without the necessity for extensive labeled datasets, and provides a developer SDK, including TypeScript, alongside a visual builder to assist non-technical users. The platform prioritizes quick query responses in under a second, enabling the effortless integration of different data types and the swift launch of apps enhanced with vector-search capabilities ("Deploy as an App"), allowing organizations to develop AI-powered systems for search, recommendations, classification, or content discovery without the need to construct their own infrastructure from the ground up. Furthermore, its comprehensive features make it an ideal choice for companies looking to leverage AI technology efficiently and effectively.

Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.

Gaffa is a comprehensive REST API designed for browser automation, allowing developers to efficiently control authentic, full browsers with just one API call, which removes the complexities of managing headless-browser frameworks, proxies, and scaling infrastructure. By default, it effectively manages JavaScript rendering, ensuring that web pages load precisely as they would for an actual user, and it accommodates a wide array of automation tasks, including web scraping, taking screenshots, exporting content to PDF, transforming pages into clean Markdown suitable for LLMs, infinite-scroll scraping of dynamic websites, filling out forms, capturing complete page screenshots, and archiving content for offline access. Additionally, Gaffa boasts a rotating residential proxy network that guarantees dependable access from various geographic locations, incorporates automatic CAPTCHA handling when necessary, and operates on a credit-based usage model, where costs are determined by actual browser execution time and bandwidth, making scaling and budget management significantly easier. With its robust features and user-friendly design, Gaffa streamlines the browser automation process for developers across different industries.

Pylar serves as a secure intermediary layer for data access, allowing AI agents to interact safely with structured information while preventing direct database connections. To start, users connect various data sources, which may include platforms like BigQuery, Snowflake, PostgreSQL, as well as business applications such as HubSpot or Google Sheets, to Pylar. Following this, governed SQL views can be generated using the intuitive SQL IDE provided by Pylar; these views specify the precise tables, columns, and rows that agents may access. Additionally, Pylar enables the creation of “MCP tools,” which can be developed through natural-language prompts or manual setups, converting SQL queries into standardized, secure operations. After the development and thorough testing of these tools, they can be published, allowing agents to retrieve data via a unified MCP endpoint that integrates seamlessly with various agent-building platforms, including custom AI assistants and no-code automation solutions like Zapier, n8n, and LangGraph, as well as development environments like VS Code. This streamlined access not only enhances security but also optimizes the efficiency of data interactions for AI agents across diverse applications.

Match Data Pro is a sophisticated tool for managing data quality that aims to integrate, cleanse, analyze, match, eliminate duplicates, and consolidate records from various files, databases, and systems with remarkable efficiency and accuracy. It features cutting-edge AI-enabled fuzzy matching and adjustable rule-based logic to identify duplicates and inconsistencies within extensive datasets, assisting users in correcting errors, standardizing formats, and generating trustworthy golden records without the need for coding expertise. The tool also offers extensive data profiling with essential metrics to identify quality concerns prior to processing, robust data cleansing functionalities for normalizing and standardizing information, along with address verification features that enhance accuracy. Furthermore, Match Data Pro is equipped with Senzing AI entity resolution and customizable matching algorithms to accommodate minor data variations, ensuring high-performance processing capable of scaling up to millions of records. Additionally, it facilitates project job automation through scheduling, reusable rules, and seamless API integrations, making it a comprehensive solution for effective data management.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

ScanWriter is a versatile platform available both in the cloud and as an on-premise solution that streamlines data entry for financial statements. It provides users with the capability to scan documents, oversee data management, connect with various accounting systems, and utilize comprehensive reporting features. Additionally, ScanWriter seamlessly works with numerous accounting software options, including Xero, Reckon, and QuickBooks, enhancing its usability for businesses. This integration with multiple platforms allows for a more efficient workflow in managing financial information.

ECAT, a cloud-based, audit management solution, allows organizations to monitor, review, and generate reports about safety inspections. ECAT features include offline mode, an inspection scheduler, multi-field inspections, and more. ECAT is a tool that allows organizations to conduct inspections for safety, hygiene, production, equipment, security and general safety.

Xplenty is a versatile software solution designed for data integration and delivery, catering to both small and medium-sized businesses as well as larger organizations by facilitating the preparation and transfer of data to the cloud for analytical purposes. Its key features encompass data transformations, an intuitive drag-and-drop interface, and seamless integration with more than 100 data stores and SaaS platforms. Developers can effortlessly incorporate Xplenty into their existing data solution architectures. Additionally, the platform provides users with the ability to schedule tasks and track the progress and status of these jobs effectively. With its robust capabilities, Xplenty empowers users to optimize their data workflows and enhance their analytical processes.

K3 is an innovative data integration software developed by BroadPeak, a software company located in New York. Designed as a groundbreaking solution for data management, K3 empowers organizations to seamlessly transform, filter, and consolidate their data, facilitating its distribution to various destinations. The software offers a robust collection of pre-built adapters that allow users to connect diverse applications, ranging from cloud services to traditional on-premise data systems. Among K3's standout features are a user-friendly mapping interface that simplifies data flow, a rules engine that employs When, Then, Else logic to enhance data fields, as well as filtering capabilities to ensure data integrity and validation logic that includes alerts for potential issues. Additionally, K3's adaptability and ease of use make it an essential tool for businesses looking to optimize their data operations and improve decision-making processes.

Hull serves as a robust customer data integration platform, empowering sales and marketing teams to attain a comprehensive view of their customers while effortlessly automating their strategies for activation, acquisition, and retention. Both powerful and user-friendly, this consolidated customer database can dynamically transform, enhance, and categorize data across all your tools in real-time. Through its array of pre-built integrations, Hull links your various tools to facilitate the creation of segments, initiate workflows, ensure timely updates to customer profiles, and amplify business opportunities. Additionally, the platform's ability to streamline data processes fosters a more cohesive approach to customer relationship management.

LeadBoxer is a powerful lead generation and sales intelligence platform that can be used by small and large businesses-to-business (B2B). LeadBoxer is the most advanced online visitor identification solution and behavior tracking system. It allows sales and marketing teams identify and track customers and leads online, turn anonymous web traffic into actionable insight, and generate qualified leads to improve their business efficiency and grow their revenue stream. This software-as-a-service (SaaS), solution allows for lead and customer identification, filters, segments, dynamic lead scoring and notifications and alerts.

Style Scope, developed by InetSoft, is an innovative dashboard software designed for real-time reporting and visual data analysis. Equipped with a robust and adaptable data analytics engine, Style Scope facilitates data integration in a modular, Lego-like manner while also promoting business data exploration. This solution boasts advanced interactive dashboarding and analytical features provided by Style Intelligence, positioning it as an excellent choice for enterprises and an ideal embeddable OEM component for solution developers. Furthermore, by utilizing Style Scope, data scientists and advanced users can access and manipulate any necessary data independently of IT support, enhancing their efficiency and autonomy in data-driven decision-making. This capability allows organizations to unlock the full potential of their data assets.

AnswerRocket, a U.S.-based software firm, has been at the forefront of search-driven data discovery analytics through natural language technology since its inception in 2013. Their innovative solutions equip businesses with the necessary intelligence and analytics to thrive in a data-centric market. With a sophisticated and expertly designed platform, they provide a comprehensive understanding of data analysis and distribution within an organization, ultimately granting companies a competitive edge. This distinct advantage empowers businesses to make informed decisions and stay ahead in today's fast-paced economy.

Netwrix Auditor, a visibility platform, allows you to control changes, configurations, and access in hybrid IT environments. It also eliminates the stress associated with your next compliance audit. All changes in your cloud and on-prem systems can be monitored, including AD, Windows Servers, file storage, Exchange, VMware, and other databases. Reduce the complexity of your inventory and reporting. You can easily verify that your access and identity configurations match the known good state by reviewing them regularly.

DBxtra offers a cloud-driven solution for business intelligence, reporting, and dashboards, enabling companies to develop and share interactive web reports and dashboards effortlessly. Users are not required to possess any SQL, programming, or web technology skills to effectively create, implement, and oversee ad-hoc reports using DBxtra. The platform comprehensively addresses all reporting requirements. Additionally, potential users can experience DBxtra through a complimentary 30-day trial. This allows businesses to explore its features and functionalities without any commitment.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Mozenda, a powerful data extraction tool, allows businesses to collect data from multiple sources and turn it into wisdom and action. The platform automatically identifies data lists, captures name-value pairs lists, captures data in complex table structures, among other things. It also provides a wide range of features, including error handling, scheduling, notifications, publishing, exporting, premium harvesting and history tracking.

Unlock and disseminate unparalleled insights about your enterprise using SAP Lumira. This robust analytics and data visualization tool leverages self-service Business Intelligence (BI) alongside visual representations, interactive dashboards, and analytical applications, enabling organizations to better interpret their data. SAP Lumira comes in four distinct versions: Standard, Discovery, Designer, and Server. Each edition is tailored to meet diverse business needs, ensuring that users can select the best fit for their analytical requirements.