Best Database Software in Germany - Page 14
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Compare the Top Database Software in Germany as of May 2026 - Page 14
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Machbase
Machbase
Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data. -
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RRDtool
RRDtool
RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications. -
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IBM Db2 Event Store is a cloud-native database system that is designed to handle massive amounts of structured data that is stored in Apache Parquet format. Because it is optimized for event-driven data processing and analysis, this high-speed data store can capture, analyze, and store more than 250 billion events per day. The data store is flexible and scalable to adapt quickly to your changing business needs. With the Db2 Event Store service, you can create these data stores in your Cloud Pak for Data cluster so that you can govern the data and use it for more in-depth analysis. You need to rapidly ingest large amounts of streaming data (up to one million inserts per second per node) and use it for real-time analytics with integrated machine learning capabilities. Analyze incoming data from different medical devices in real time to provide better health outcomes for patients while providing cost savings for moving the data to storage.
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SQLAlchemy
SQLAlchemy
SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can be selected from not only tables but also joins and other select statements; any of these units can be composed into a larger structure. SQLAlchemy's expression language builds on this concept from its core. SQLAlchemy is most famous for its object-relational mapper (ORM), an optional component that provides the data mapper pattern. -
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ksqlDB
Confluent
Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications. Make your data immediately actionable by continuously processing streams of data generated throughout your business. ksqlDB’s intuitive syntax lets you quickly access and augment data in Kafka, enabling development teams to seamlessly create real-time innovative customer experiences and fulfill data-driven operational needs. ksqlDB offers a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables. That means less infrastructure to deploy, maintain, scale, and secure. With less moving parts in your data architecture, you can focus on what really matters -- innovation. -
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DBComparer
DBComparer
DBComparer is a professional database comparison tool for analyzing the differences in Microsoft SQL Server 2008 (and 2005) database structures. It is an excellent tool for any project development team or DBA managing multiple copies of the same database on an SQL Server. This database comparison tool has a clean and straight-forward user interface. Results are clearly presented so that you can immediately see the differences in your databases. It will make locating and eliminating differences in your database fast and easy. In a Development or Test environment, you tend to have frequent changes to your databases and database schemas. But on live (Production) databases with real and potentially sensitive data, changes to the database schema are rare and can be complicated. In order to avoid unsuccessful deployments of your database related projects, you have to be sure that your databases are synchronized.Starting Price: Free -
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ApexSQL
Quest Software
We strive to ensure that all of our tools are “Best of class” in their respective category. We pride ourselves on our product support which we are frequently told is the best in our industry. We are constantly innovating, releasing new features and new tools on an aggressive schedule. Auditing and masking capabilities to keep sensitive data safe, discover and manage SQL Server instances and perform health and security checks. Achieve dramatic reductions in SQL Server backup/restore times and storage costs. Choose the best combination of CPU resource utilization and backup storage size reduction for your environment with eight compression levels. Ensure that no data or structure changes are lost during backup restores by capturing transactions made during the backup process and replaying them. Rollback truncate operation and recover lost data. -
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Kwil
Kwil
Kwil is the first decentralized, community-owned SQL database solution for building advanced dApps and protocols. Kwil enables advanced dApp development in a vastly shorter time by providing a highly scalable SQL database that feels native to Web2 developers. In order to build on a decentralized architecture, developers are currently required to manage highly complex and extremely unscalable blockchain-based data management solutions. KwilDB simplifies the decentralized development process while simultaneously providing an extremely cheap and scalable solution for storing and querying large amounts of data. By facilitating highly scalable decentralized data storage and querying, KwilDB enables dApps to seamlessly plug into data from other applications. Building on KwilDB means radically faster development times, the ability to quickly execute highly complex queries across massive data sets, and ease of access to data from other applications, enabling extreme composability. -
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DbNinja
DbNinja
The connection between your browser and DbNinja is encrypted, so even if you do not have SSL installed no one will be able to eavesdrop on your communication. DbNinja is an advanced web-based application for MySQL database administration and development. It's a must-have for those who wish to access their hosted servers remotely. DbNinja supports all the latest features including triggers, events, views, stored routines, and foreign keys; in addition, it allows to import and backup data and MySQL object structures, manage users, and much more. DbNinja has a highly functional and elegant user interface and can be used securely in any modern browser on any OS. No registration or payment information is needed, and no strings are attached. Paid premium features such as scheduled backups and server monitoring will soon become available. DbNinja is the most complete solution for novice and professional MySQL developers. It is also supported by most shared hosting providers. -
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Inery
Inery Blockchain
Inery is layer-1 blockchain designed to offer the solution of decentralized database management with the vision to enable a new paradigm for data. It lays the foundation for web3 by seamlessly connecting with systems, applications, and layer-1 networks. Inery’s data management system (IneryDB) integrates blockchain functionalities with distributed database management properties. Built on a decentralized infrastructure, IneryDB supports high throughput, low latency, complex query search and owner-controlled data assets. IneryDB allows developers and enterprises to securely store, access, manage and deliver data on a decentralized infrastructure supporting various industries. Inery's layer-1 blockchain facilitates secure data sharing with greater speed and better security. It lays the foundation of the underlying infrastructure to deploy decentralized applications and allow cross-chain interoperability. -
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BigchainDB
BigchainDB
With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support, BigchainDB is like a database with blockchain characteristics. BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a blockchain database, supporting a wide range of industries and use cases. Rather than trying to enhance blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets. No single point of control. No single point of failure. Decentralized control via a federation of voting nodes makes for a P2P network. Write and run any MongoDB query to search the contents of all stored transactions, assets, metadata and blocks. Powered by MongoDB itself. -
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Credential Sentry
Credential Sentry
Check the professional license status of your employees and business partners on autopilot to stay informed about license suspension, protect your reputation, and avoid unnecessary financial losses. Verify credentials accurately, and hire only fully certified professionals - whether contractors or employees - to avoid financial and reputational damage. Automating the verification process for contractors and employees has never been easier: with a few clicks, you can look up current credentials information, screening an unlimited number of names at once. Streamline your professional license search by validating any number of records as many times as you need, saving both time and money while also boosting productivity.Starting Price: $30 per user per month -
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NocoDB
NocoDB
NocoDB is an open-source platform that turns any database into a smart spreadsheet. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Share views publicly and also with password protection. Turn software consumers into software producers within each organization. -
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PartiQL
PartiQL
PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice. -
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pgEdge
pgEdge
Easily deploy a high availability solution for disaster recovery and failover between and within cloud regions and zero downtime for maintenance. Improve performance and availability with multiple master databases spread across different locations. Keep local data local and control which tables are globally replicated, and which stay local. Support higher throughput when workloads threaten to exceed available compute capacity. For organizations that need or prefer to self-host and self-manage their databases, pgEdge Platform runs on-premises or in self-managed cloud provider accounts. Runs on numerous OS and hardware combinations, and enterprise-class support is available. Self-hosted Edge Platform nodes can also be part of a pgEdge Cloud Postgres cluster. -
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Undb
Undb
Undb is delighted to meet you all. We hope you can try it out and provide valuable feedback and suggestions. Undb is currently in the early stages of open source development and is not recommended for production use. Please note that once the demo website is redeployed, the previous table data will be cleared. The Undb open-source spreadsheet platform provides a visual drag-and-drop interface and configurable operations, allowing anyone to quickly build their business systems, process various data, and optimize business logic. Undb can render tens of thousands of data in just a few seconds. Undb is private first, you can deploy your instance of undb and handle your data locally. Using SQLite and local object storage by default requires only one file to persist your data. Many built-in field types and configurable. -
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SurrealDB
SurrealDB
SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements. The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose. Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications. -
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ParadeDB
ParadeDB
ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries. -
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Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. The system was designed to handle hundreds of petabytes of data.
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You can deploy a ready-to-use cluster in just a few minutes. DB settings are initially optimized for the cluster size you selected. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Redis stores data in key-value format, supported values include strings, arrays, dictionaries, sets, bitmasks, and other types. Redis runs in RAM and is therefore suitable for tasks that require a quick response or involve performing a large number of operations on a relatively small amount of data. Backups of database contents are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. Set a time limit for Yandex Managed Service for Redis to automatically delete data and optimize your data storage costs.
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Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.
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Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.
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Analyze the performance of Greenplum DBMS using monitoring and query management tools in the command center, where you can also view and download query and session histories. Hybrid Storage in Yandex Managed Service for Greenplum® is natively integrated with Object Storage, allowing you to organize hybrid storage with automatic data transfers to cold storage. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. Thanks to its integration with the DataLens BI system, build reports, charts, and dashboards, directly from the service, based on data stored in Greenplum. All DBMS connections are encrypted using the TLS protocol. Our infrastructure meets local regulatory, GDPR, industry-specific ISO standards, and PCI DSS security requirements.
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FlashGrid
FlashGrid
FlashGrid's software solutions are designed to enhance the reliability and performance of mission-critical Oracle databases across various cloud platforms, including AWS, Azure, and Google Cloud. By enabling active-active clustering with Oracle Real Application Clusters (RAC), FlashGrid ensures a 99.999% uptime Service Level Agreement (SLA), effectively minimizing business disruptions caused by database outages. Their architecture supports multi-availability zone deployments, safeguarding against data center failures and local disasters. FlashGrid's Cloud Area Network software facilitates high-speed overlay networks with advanced high availability and performance management capabilities, while their Storage Fabric software transforms cloud storage into shared disks accessible by all nodes in a cluster. The FlashGrid Read-Local technology reduces storage network overhead by serving read operations from locally attached disks, thereby enhancing performance. -
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SDF
SDF
SDF is a developer platform for data that enhances SQL comprehension across organizations, enabling data teams to unlock the full potential of their data. It provides a transformation layer to streamline query writing and management, an analytical database engine for local execution, and an accelerator for improved transformation processes. SDF also offers proactive quality and governance features, including reports, contracts, and impact analysis, to ensure data integrity and compliance. By representing business logic as code, SDF facilitates the classification and management of data types, enhancing the clarity and maintainability of data models. It integrates seamlessly with existing data workflows, supporting various SQL dialects and cloud environments, and is designed to scale with the growing needs of data teams. SDF's open-core architecture, built on Apache DataFusion, allows for customization and extension, fostering a collaborative ecosystem for data development. -
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SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
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Glitter
Glitter
Glitter Protocol is a blockchain-based data platform built to assist developers in storing, managing, and elevating the world’s data in a Web3-native way. It offers multi-language SDKs (including via SQL) and a role-based access control system for secure dataset writing and collaboration. The platform includes an indexing engine with both traditional database and full-text search capabilities, enabling efficient data discovery and retrieval. Glitter enables data sharing and monetization through token-economics; data contributors are incentivized to provide valuable datasets, and developers can access a marketplace-style “datamap” to locate data assets. It supports the migration of existing Web2 applications and data into the Web3 ecosystem, aiming to organize and decentralize unstructured data, make it more accessible and usable, and foster collaboration across the community. -
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MAISY Database
Jackson Associates
MAISY Commercial and Residential Utility Customer Energy Use and Hourly Loads Databases were introduced in 1995, including information on 10,000 utility customers throughout the US. Databases have been vastly updated and extended each year to provide 2020 MAISY Databases that now include current energy use and hourly load profile data on more than 7 million US individual commercial and residential utility customers. Databases include information on building, equipment, operation, occupant, and energy use for each utility customer record. MAISY Commercial and residential hourly load profile databases have been developed from dozens of data sources including utility, association, government and Jackson Associates proprietary utility customer surveys and detailed appliance engineering analysis. Databases reflect a statistically valid sample of residential and commercial utility customers throughout the US. -
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SenseDeep
SenseDeep
Accelerate, design, debug and deliver serverless faster! The most powerful collection of DynamoDB tools with single-table aware data browser, designer, provisioning planner, migration manager and metrics. Browser and manage tables that understands your single-table designs. Manage schemas and entities with the single-table designer. Determine best provisioning with real historical data. Upgrade and downgrade data with the migration manager. See exactly how your DynamoDB table is performing with detailed metrics at the account, table and single-table entity levels. Automated error detection for application, database and service events. Create Alarms and alerts for application log events, metrics, events and DynamoDB performance. Don't get swamped by alerts via smart notification dampening. Select monitored resources by tags, regular expressions or list. -
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PipelineDB
PipelineDB
PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.
