Best Web-Based Data Management Software of 2025 - Page 21

Variance serves as the intersection for both individual and team selling within your organization. As the founder, you oversee the product, manage sales, and even handle the less glamorous tasks at the end of the day. While success in this area is achievable, the pace of growth will inevitably decelerate without scaling your market-entry strategies. Your goal is to onboard each customer efficiently, gather their insights, and quickly ascertain their likelihood of renewal. With Product/Market Fit established, you've integrated technological interactions with your clients and can partially automate certain sales processes. Additionally, you're beginning to recruit salespeople to address the increasingly complex inquiries you receive, as competition heightens and the market expands rapidly. The reality is that your product cannot rely solely on its merits to sell itself; you must expedite deal closures and explore new market opportunities. Thus, it's crucial to expand your sales team to meet these evolving demands. In doing so, you'll position your company for sustained growth and adaptability in a competitive landscape.

Treblle is a federated API Intelligence platform that unifies API visibility, governance, and security in a single enterprise-grade solution. Designed for complex environments, Treblle connects seamlessly through one integration and supports deployment on-prem or in private cloud—meeting even the strictest regulatory and data residency requirements. Once integrated, Treblle instantly maps your entire API landscape with automatic discovery, generating real-time inventories and eliminating shadow APIs. Its observability tools track every request and response, surfacing performance issues, anomalies, and SLA breaches across all services. Advanced analytics give teams insights into traffic, latency, endpoint usage, and client behavior, making debugging, optimization, and scaling easier and 15 times faster. Security is built-in, not bolted on. Treblle provides runtime protection, threat detection, schema validation, and governance policies to safeguard APIs across environments. It empowers DevOps and platform teams to implement shift-left strategies and enforce consistent practices across the lifecycle. With its AI-powered Integration Assistant, Treblle simplifies onboarding and improves developer workflows. Whether you’re running internal microservices or customer-facing APIs, Treblle gives you the clarity and control to move faster, reduce risk, and scale with confidence.

Tricent is the #1 file-sharing governance SaaS platform that enables more secure and compliant file sharing within Microsoft 365 (Teams, OneDrives & Sharepoint drives) and Google Workspace (MyDrives & Shared Drives) so you can keep collaborating responsibly. Tricent puts the responsibility of proper file-sharing management in the hands of administrators as well as every member of the organization who shares files: 🚀 Onboard in less than 30 Minutes. ricent gets you up and running swiftly so you can focus on what matters most. 🔍 Get Insights: From day one, gain a comprehensive overview of all files shared and permissions granted—across both personal drives and shared drives. ⭕️ Do Bulk Remediation: Our admin-friendly cleanup tools allow you to tackle file sprawl efficiently. 😇 Empowering End-Users Responsibly: We use automation to involve your employees in the cleanup process. They can continue collaborating while maintaining compliance. 💪🏼 Customizable Governance Policies: Set different cycles for different user groups. Tricent adapts to your unique needs, ensuring flexibility without compromising control. 🔮 Stay Ahead with Abnormality Detection.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Retable is a versatile online spreadsheet and database tool that makes organizing and collaborating on data easy. Whether you're running a small business, a large organization, or an NGO, Retable is the perfect solution for managing all your personal, business, technical, and functional information in one place. With Retable, you can work holistically and in sync with all your data, making it easy to coordinate, evaluate, create, schedule, and build. With its streamlined and user-friendly interface, Retable is ideal for small and large businesses, as well as organizations that rely on collaborative working methods. Try Retable today and experience the convenience of having all your data in one easy-to-use platform.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

AIMLEAP is a global technology consultancy and service provider certified with ISO 9001:2015 and ISO/IEC 27001:2013 certification. We provide AI-augmented Data Solutions, Digital IT, Automation, and Research & Analytics Services. AIMLEAP is certified as 'The Great Place to Work®'. Our services range from end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, and Web Data Scraping to Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions, with a focus on AI and an automation-first approach. Since 2012 we have been successful in delivering projects in automation-driven data solutions, IT & digital transformation, and digital marketing for 750+ fast-growing companies in Europe, the USA, New Zealand, Canada, Australia, and more. - An ISO 9001:2015 and ISO/IEC 27001:2013 certified - Served 750+ customers - 11+ Years of Industry Expertise - 98% Client Retention - Great Place to Work® Certified - Global Delivery Centers in the USA, Canada, India & Australia.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

NewsCatcher addresses the frustrations of inconsistent news data and poor integration. We provide clean, normalized, near-real-time articles from 70,000+ global sources, including hyper-local coverage. Covering over 98% of each website, we extract all essential data points, ensuring you get the critical information you need. We enrich this data by adding sentiment scores, detecting named entities, summarizing, classifying, deduplicating, and clustering similar articles. This maximizes the value of news content while reducing post-processing time and costs. NewsCatcher helps enterprises seamlessly integrate news insights into workflows by building custom pipelines with LLM fine-tuning, resulting in a clean, relevant feed with a low false-positive rate. Customers gain full transparency into our data collection and the models we use. We offer monitoring services to ensure customers understand our system’s operation and responsiveness to new data sources, including detailed explanations of the models and embeddings applied.

Weaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development.

Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Users build recommendation applications on Vespa, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.

Dasera is a Data Security Posture Management (DSPM) solution that provides comprehensive security and governance for structured and unstructured data across cloud and on-premises environments. It uniquely monitors data-in-use, offering continuous visibility and automated remediation to prevent data breaches at every data lifecycle stage. Dasera facilitates continuous risk detection and mitigation, ensuring seamless integration and regulation compliance. With a deep understanding of data infrastructure, attributes, users, and usage, Dasera empowers organizations to pursue a secure, data-driven growth strategy, minimizing risks and maximizing value in the digital era.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Save hours by developing and maintaining ETL/ELT pipelines using an easy-to use environment that allows for effortless debugging. Visualize changes before deployment to simplify development, accelerate testing, and reduce debugging. Work with Python and our simple interface to foster team collaboration and save valuable time during the most difficult development stages. Consolidate data in any format, from any source and any size with no hesitations. Ensure the most accurate data by utilizing error flagging and debugging in real-time within specific data processes as well as across pipelines. Use compute, storage and network bandwidth to auto-scale infrastructure as data volume and speed increase. Real-time data observability can help you identify and pinpoint problems. Zoom in and thoroughly troubleshoot your data pipelines.

Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows. Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise. It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

Trino is a remarkably fast query engine designed to operate at exceptional speeds. It serves as a high-performance, distributed SQL query engine tailored for big data analytics, enabling users to delve into their vast data environments. Constructed for optimal efficiency, Trino excels in low-latency analytics and is extensively utilized by some of the largest enterprises globally to perform queries on exabyte-scale data lakes and enormous data warehouses. It accommodates a variety of scenarios, including interactive ad-hoc analytics, extensive batch queries spanning several hours, and high-throughput applications that require rapid sub-second query responses. Trino adheres to ANSI SQL standards, making it compatible with popular business intelligence tools like R, Tableau, Power BI, and Superset. Moreover, it allows direct querying of data from various sources such as Hadoop, S3, Cassandra, and MySQL, eliminating the need for cumbersome, time-consuming, and error-prone data copying processes. This capability empowers users to access and analyze data from multiple systems seamlessly within a single query. Such versatility makes Trino a powerful asset in today's data-driven landscape.

Iceberg is an advanced format designed for managing extensive analytical tables efficiently. It combines the dependability and ease of SQL tables with the capabilities required for big data, enabling multiple engines such as Spark, Trino, Flink, Presto, Hive, and Impala to access and manipulate the same tables concurrently without issues. The format allows for versatile SQL operations to incorporate new data, modify existing records, and execute precise deletions. Additionally, Iceberg can optimize read performance by eagerly rewriting data files or utilize delete deltas to facilitate quicker updates. It also streamlines the complex and often error-prone process of generating partition values for table rows while automatically bypassing unnecessary partitions and files. Fast queries do not require extra filtering, and the structure of the table can be adjusted dynamically as data and query patterns evolve, ensuring efficiency and adaptability in data management. This adaptability makes Iceberg an essential tool in modern data workflows.

Databunker is a lightning-fast, open-source vault developed in Go for secure storage of sensitive personal records. Protect user records from SQL and GraphQL injections with a simple API. Streamline GDPR, HIPAA, ISO 27001, and SOC2 compliance. Databunker is a special secure storage system designed to protect: - Personally Identifiable Information (PII) - Protected Health Information (PHI) - Payment Card Industry (PCI) data - Know Your Customer (KYC) records Databunker introduces a new approach to customer data protection: - Secure Indexing: Utilizes hash-based indexing for all search indexes - No Clear Text Storage: Ensures all information is encrypted, enhancing overall security - Restricted Bulk Retrieval: Bulk retrieval is disabled by default, adding an extra layer of defense - API-Based Communication: Backend interacts with Databunker through API calls, similar to NoSQL solutions - Record Token: Databunker creates a secured version of your data object - an object UUID token that is safe to use in your database

Peliqan.io provides a data platform that is all-in-one for business teams, IT service providers, startups and scale-ups. No data engineer required. Connect to databases, data warehouses, and SaaS applications. In a spreadsheet interface, you can explore and combine data. Business users can combine multiple data sources, clean data, edit personal copies, and apply transformations. Power users can use SQL on anything, and developers can use Low-code to create interactive data apps, implement writing backs and apply machine intelligence.

Connect seamlessly to your data warehouse, where SSO allows your team to authenticate in mere seconds. Organize your business intelligence using SQL for enhanced clarity. Feel assured when making changes, as automated testing verifies each update. Confidently deploy models and have the ability to revert to previous states if unexpected issues arise. Quary interfaces with your sensitive data store and is designed with robust security features from the outset. By default, your data remains within your own environment, with exchanges occurring solely between your Quary client and data store. Collaboratively transform data, model, test, and deploy as a cohesive unit. SSO is an integral part of our base plan, and we provide assistance with its setup to ensure smooth implementation. Sharing credentials is unnecessary, as Quary enhances your data store's existing access management systems. We are actively pursuing SOC2 compliance and have team members with security qualifications (CISSP) dedicated to protecting your data, ensuring you have peace of mind as you operate. All these features are crafted to foster a secure and efficient data management experience.

Thunderbit AI Web Scraper A next-gen, AI-powered web scraper that enables businesses and individuals to extract data from any website effortlessly. Perfect for lead generation, market research, and automating repetitive tasks. Thunderbit AI Web Scraper is the easiest-to-use web scraper powered by AI, that allows you to extract data from websites, PDFs, images, and more in just 2 clicks. No coding required! Feature Overview - 2-Click Scraping: Extract data from any website with minimal effort. - Natural Language Extraction: No need for CSS selectors—just describe the data you need. - Subpage Scraping: Automatically visit linked pages and extract enriched data. - Multi-Source Support: - Websites - PDFs - Images - Videos - Subpage Links - Pre-Built Templates: One-click scraping for popular sites like LinkedIn, Amazon, and Google Maps. - Data Restructuring: Summarize, categorize, and translate data during export. Popular Use Cases - LinkedIn Lead Generation - Amazon Product Research - Google Maps Business Data - Zillow Real Estate Listings - YouTube Channel Data - Shopify Product Details - Trustpilot Reviews Extraction

Releem is an AI-powered MySQL performance monitoring tool that delivers consistent performance through continuous database profiling, configuration tuning, and SQL query optimization. Releem automates analysis, performance issues detection, configuration tuning, query optimization and schema control to save you time and improve MySQL performance. Here’s what makes us different from other database performance monitoring and management solutions: 📊 Quick and simple to use with all the metrics displayed on one page 🚀 Adaptive configuration tuning 🎯 Automatic SQL query optimization 🤘 Rapid identification of slow queries 🛡️ All databases data is safe, Releem Agent doesn’t use data from your databases 🔀 Releem supported all versions of MySQL, MariaDB, and Percona, whether installed on-premise or on AWS RDS 👐 Open-source Releem Agent with the code available on GitHub How does it work? Releem operates as a monitoring system with an active agent installed on your database server, continuously analyzing and optimizing performance.

Scoop is the best thing that has happened to data since spreadsheets. Instantly unlock all your business data. Scoop allows you to combine and analyze data anywhere for better decisions. You can forget about all the resources and tools you need to get answers from your data. Scoop lets you do everything from data collection, spreadsheet analysis and visual data stories in one platform. Data from your business applications can be automatically collected and blended together. Scoop allows any application to push data, without requiring pre-built connectors and custom APIs. Create master datasets for analytics, visualizations and more, using your spreadsheets. Scoop automatically updates your data. From scooping up data from applications to prepping data in spreadsheets, to analyzing and presenting visual data stories. No data team or technical setup is required. Blend data from multiple sources to create beautiful data stories using live, shareable data.

It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.