RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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TeamDesk
TeamDesk is the leading low-code platform for creating powerful and flexible web-based databases with no-coding.
TechRadar named TeamDesk as the best database platform of the year.
TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding.
Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information.
TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs.
TeamDesk provides:
AI (Artificial Intelligence) integration
API, Web hooks, Zapier
unlimited data storage
unlimited number of records and tables
unlimited database complexity
free trial
free unlimited support
for a low flat rate.
TeamDesk is fully scalable.
From small companies to large enterprises, from specific manufactures to vertical business integration, system scalability accommodates customers' business growth and adjusts to evolving business model.
Enterprise Edition supports custom domain, white labeling, SSO via SAML2, unlimited databases centralized security management.
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ScaleGrid
ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported:
- MySQL
- PostgreSQL
- Redis™.
- MongoDB®, database
- Greenplum™ (coming soon)
ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.
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Apache Phoenix
Apache Phoenix integrates OLTP and operational analytics within Hadoop, catering to low-latency applications by merging the strengths of both realms. It harnesses the power of standard SQL and JDBC APIs alongside comprehensive ACID transaction support, while also offering the adaptability of late-bound, schema-on-read capabilities typical of the NoSQL sphere by utilizing HBase as its underlying storage. Additionally, Apache Phoenix seamlessly connects with various other Hadoop components such as Spark, Hive, Pig, Flume, and MapReduce, positioning itself as a reliable data platform for OLTP and operational analytics within the Hadoop ecosystem through well-established, industry-standard APIs. The framework processes your SQL queries by translating them into a sequence of HBase scans, efficiently coordinating these scans to yield standard JDBC result sets. By directly employing the HBase API and leveraging coprocessors along with tailored filters, Apache Phoenix achieves impressive performance, typically delivering results in milliseconds for smaller queries and seconds for larger datasets containing tens of millions of rows. This remarkable efficiency makes it an ideal choice for applications demanding rapid data access and analysis.
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