Best Data Management Software in Germany - Page 25

AQT is a multi-database query and admin tool designed for DBAs, database developers and data analysts. AQT uses a native ODBC interface that runs reliably and efficiently against databases of all sizes. It has been specifically customized for over 30 dufferent database types and displays more information about your database than any other product on the market. It is in use in a large number of sites running DB2 z/OS and many customers have commented that it is by far the best product with that database. But not just DB2 z/OS, but also Oracle, SQL Server, MySQL, PostgreSQL and others. Data analysts will enjoy the SQL editor, SQL history, graphical query builder, table editor, data export and charting features. DBAs and developers will be delighted with generate DDL, object compare/resync, data compare/resync, data loader, create/alter/manage objects, visual explain and system monitor.

Leverage our vast network of over 35 million datacenter and residential IP addresses from various global ISPs, featuring real devices, smart retries, and IP rotation. Select from more than 100 global locations for your web scraping API requests, or opt for random geo-targets that cover numerous major cities around the world. The scrapestack API is designed to provide a straightforward REST API interface for large-scale web page scraping, eliminating the need to manually manage geolocations, IP blocks, or CAPTCHAs. It includes a range of essential web scraping functionalities, such as JavaScript rendering, customizable HTTP headers, diverse geo-target options, and support for POST/PUT requests, along with the choice to utilize premium residential proxies as an alternative to datacenter proxies. Additionally, this API is tailored to enhance your web scraping experience by ensuring reliability and efficiency.

Mage is a powerful tool designed to convert your data into actionable predictions effortlessly. You can construct, train, and launch predictive models in just a matter of minutes, without needing any prior AI expertise. Boost user engagement by effectively ranking content on your users' home feeds. Enhance conversion rates by displaying the most pertinent products tailored to individual users. Improve user retention by forecasting which users might discontinue using your application. Additionally, facilitate better conversions by effectively matching users within a marketplace. The foundation of successful AI lies in the quality of data, and Mage is equipped to assist you throughout this journey, providing valuable suggestions to refine your data and elevate your expertise in AI. Understanding AI and its predictions can often be a complex task, but Mage demystifies the process, offering detailed explanations of each metric to help you grasp how your AI model operates. With just a few lines of code, you can receive real-time predictions and seamlessly integrate your AI model into any application, making the entire process not only efficient but also accessible for everyone. This comprehensive approach ensures that you are not only utilizing AI effectively but also gaining insights that can drive your business forward.

RisingWave is an open-source distributed SQL streaming database released under Apache 2.0 license. RisingWave is PostgreSQL-compatible, and allows users to process streaming data using standard SQL. Written in Rust and designed with cloud-native architecture, RisingWave can achieve 10X better performance and cost efficiency compared to conventional stream processing systems. RisingWave Cloud is a fully managed cloud service. Users can leverage RisingWave Cloud to process streaming data and serve analytical queries at ease.

Match2Lists provides the quickest, simplest, and most precise solution for matching, merging, and de-duplicating your data. With our Match2D&B feature, you can seamlessly enhance your datasets with Dun & Bradstreet information whenever needed. Within a matter of minutes, you can rid your data of duplicates and integrate disparate raw data into impactful insights. Our primary goal is to achieve the highest match results possible for our clients. Before we developed Match2Lists, we operated analytics and data visualization firms, utilizing various "fuzzy" matching software available in the industry. Frustrated by their inadequate match outcomes, we dedicated ten years to crafting the most sophisticated data matching algorithms. Our secondary goal is to optimize time: we aim to allow our clients to devote less time to data matching and cleansing, and instead focus on analysis and execution. This led us to implement our cutting-edge matching logic on the fastest in-memory cloud computing infrastructure we could find, which can process 200 million records in just 30 seconds. Now, businesses can enjoy enhanced productivity and make informed decisions rapidly.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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.

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.

DbGate features a robust data browser and editor that enables users to efficiently locate or alter data, even when navigating complex relationships. Typically, utilizing this data browser is significantly more effective than manually entering a query or employing a query designer, although all these methods are indeed available within DbGate as well. The database comparison tool stands out due to its impressive speed, leveraging cached database models to enhance performance compared to other tools in the market. Users have the ability to explore and filter various database objects by their type, such as tables, views, and stored procedures, as well as by their comparison status, including whether they are equal, changed, added, or removed. Additionally, you can choose specific objects for synchronization with the target database, with a deployment script preview presented for user confirmation prior to execution. Furthermore, you have the option to download the database model as a collection of YAML files, each representing the structure of individual tables, along with SQL files that detail other database objects like views and procedures, ensuring comprehensive documentation of the database environment. This makes DbGate not only a powerful tool for immediate database management tasks but also a valuable resource for maintaining structured database documentation.

NewsCatcher addresses the frustrations of inconsistent news data and poor integration. We provide clean, normalized, near-real-time articles from 150,000+ global sources in 50+ languages, 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 into events. This maximizes the value of news content while reducing post-processing time and costs. Beyond traditional news, our BeyondNews and Local News APIs extend coverage further, surfacing government data, policy changes, and official announcements before they become news, plus thousands of hyperlocal outlets, university newspapers, and local government portals across multiple countries. 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 is an open-source vector database built for the AI era, giving teams one platform for vector search, retrieval-augmented generation, and agent memory. Store data objects together with embeddings from your preferred machine learning models and scale effortlessly to billions of objects. Import your own vectors or rely on Weaviate's built-in vectorization, then search across vector, keyword, and hybrid methods to get highly relevant results, even when filters are applied. By connecting to today's leading large language models, Weaviate helps you build grounded search and question-answering over your own data. The platform reaches well beyond storage: its Query Agent translates plain-language questions into accurate queries with citations, Engram delivers managed long-term memory for AI agents, and Weaviate Embeddings removes the work of running your own embedding pipeline. Available as self-hosted open source or fully managed Weaviate Cloud across AWS, GCP, and Azure, backed by SOC 2 Type II, native multi-tenancy, replication, and role-based access control. From semantic search to recommendation to fully agentic applications, Weaviate is the foundation to ship AI products faster.

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.

Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

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.

Production database operations often require developers to move quickly while DBAs and security teams maintain control. Bytebase provides a shared platform built around three capabilities: Govern Database Changes — route schema and data updates through consistent review, approval, SQL validation, and rollout workflows before they reach production. Control Database Access — provide developers and AI agents with temporary, policy-based access while masking sensitive data and avoiding shared database credentials. Preserve an Audit Trail — record database queries, access requests, approvals, and changes so teams can investigate activity and demonstrate accountability. Bytebase supports both UI-driven and GitOps workflows, helping engineering teams standardize database operations without replacing their existing development tools.

Deeplake is an AI data runtime and GPU database built for teams developing agents, RAG systems, multimodal applications, robotics workflows, and generative media products. It is designed to solve the gap between GPU-powered AI models and CPU-bound data systems by keeping data closer to where AI workloads execute. The platform supports serverless Postgres, vector search, multimodal data storage, analytical workloads, and AI-optimized data lake functionality. Deeplake helps agents remember, retrieve, and act in fast cycles, making it useful for systems that need repeated context retrieval across long-running tasks. It can manage complex data such as video, images, point clouds, sensors, PDFs, audio, embeddings, model weights, and structured records. Developers can use familiar database concepts while gaining support for GPU-speed retrieval and scalable AI data operations. The platform is positioned for production-grade AI use cases where agents may generate databases, query thousands of times, and require faster memory access. Deeplake also supports private deployment patterns, including VPC environments, so organizations can keep sensitive data within their own infrastructure. With open-source adoption, enterprise security credentials, and a focus on agentic workloads, Deeplake helps AI teams build faster and more efficient data systems.

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.

SQL Spreads is a Microsoft Excel Add-in which allows non-technical users to easily Update Insert and Delete Data in SQL Server Tables directly from Excel. A SQL Spreads Designer creates controlled SQL Spreads Excel files that are connected to SQL Server databases. These documents are then shared with Data Editors, who take ownership of updating data and saving back changes in SQL Server.

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.