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Knack helps non-programmers easily build beautiful, data-driven web apps. Data can be imported from spreadsheets and converted to an online database. Tools like search, forms, and tables are used to build web apps that work with the data. Apps can be published to any site and adapt to the surrounding design. Multiple versions can be published to different sites and for different audiences. Developers can extend these apps with a RESTful API, custom CSS, and JS event handlers.
Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.
Aiven provides managed cloud service hosting for your software infrastructure services. Acting as a central hub for all database needs, we offer relational and non-relational database services along with a visualization suite and high-throughput message broker. Our service offering includes PostgreSQL, Elasticsearch, InfluxDB, Redis, Grafana and Kafka. All Aiven services are billed by the hour based on actual usage with no hidden fees. Start today!
A managed database-as-a-service platform enables modern enterprise applications built on open source database technologies. Get ready databases in minutes Run web and mobile apps on fully managed, hand-picked OSS databases optimized for performance in production. Scale without surprises Deploy databases in production quickly and easily, and enjoy auto-scaling and other features to ease the administrative burden of scaling. Use the right database(s) Choose from among the best OSS database technologies to power your app, then let Compose manage them for you.
Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
datatooth provides enterprise planning, collaboration and spreadsheet data management products which enable you to build, configure and deploy enterprise quality, Excel powered applications ranging from simple resource planning to complex supply chain management in many different verticals. For more information, visit: www.datatooth.com
Datomic is a database of flexible, time-based facts, supporting queries and joins, with elastic scalability, and ACID transactions. Datomic can leverage highly-available, distributed storage services, and puts declarative power into the hands of application developers.
dbForge Studio for PostgreSQL is a GUI tool for managing and developing databases and objects. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface. The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in.
At InfluxData, we deliver a complete Open Source Platform built from the ground up for metrics, events, and other time-based data a modern Time Series Platform. We did not take the simple path and just bolt time series support onto a SQL or NoSQL store. Instead, we created a platform that is purpose-built for time series data that allows you to focus on your project.
kdb+ is a high-performance column-store database with a built-in expressive query and programming language, q. Used as a central repository to store time-series data within an enterprise, kdb+ supports real-time analysis of billions of records and fast access to terabytes of historical data.
Rocket mvBase is a high-performance, MultiValue database engine with the ability to create multi-valued fields, unlimited items sizes and with maximum flexibility for data organization. mvBase is easy to administer as it Fully incorporates the Windows graphical user interface for system configuration and control.
Raise Data Recovery is designated for data recovery from Windows, Linux and Mac file systems (such as NTFS, FAT, ExFAT, HFS+, Ext2, Ext3, Ex4, RaiserFS, JFS, XFS, UFS, UFS2 etc.) and raw recovery technique. The software automatically selects data recovery methods designated for the purposes of your operating system and conveniently recovers lost information from your computer. Raise Data Recovery employs careful algorithms for source analysis and powerful search and recovery mechanisms similar to those used in professional series. At the same time, it does not require special technical knowledge or skills.
"TDSmaker has been amazing in bridging the gap between marketing and R&D department by combining design and datasheet editor tool in the same app." TDSmaker is a cloud-based data sheet creation and management system that reduces the time and cost it takes to create and edit data sheets by over 85%. Data sheets often need to be edited to make them current, and that can be time consuming and expensive. Editing a data sheet normally requires hiring a graphic designer to update the design to fit the new edits. With TDSmaker, editing a data sheet is fast and easy, and does not require hiring a graphic designer. This can easily reduce a company’s cost to edit and update a data sheet by at least a couple hundred dollars. Nearly all of the current design software that is used to create data sheets is complex to use and requires extensive employee training. Because TDSmaker is so simple to use, businesses do not have to pay for expensive employee training, and they can quickly and easily create professional data sheets with their in-house writer(s).