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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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WindocksWindocks offers customizable, on-demand access to databases like Oracle and SQL Server, tailored for various purposes such as Development, Testing, Reporting, Machine Learning, and DevOps. Their database orchestration facilitates a seamless, code-free automated delivery process that encompasses features like data masking, synthetic data generation, Git operations, access controls, and secrets management. Users can deploy databases to traditional instances, Kubernetes, or Docker containers, enhancing flexibility and scalability. Installation of Windocks can be accomplished on standard Linux or Windows servers in just a few minutes, and it is compatible with any public cloud platform or on-premise system. One virtual machine can support as many as 50 simultaneous database environments, and when integrated with Docker containers, enterprises frequently experience a notable 5:1 decrease in the number of lower-level database VMs required. This efficiency not only optimizes resource usage but also accelerates development and testing cycles significantly.
What is dbWatch Control Center?
dbWatch Control Center provides a comprehensive solution for the oversight and management of database farms, facilitating swift and efficient monitoring of databases while streamlining workflows, automating tasks, and producing customized reports all from a single platform. It supports a range of environments, whether on-premises, in the cloud, or within hybrid configurations. Key features include adaptable dashboards, compatibility with multi-site and hybrid cloud systems, scalability, and strong security protocols. The platform offers specific modules for onboarding, architecture, dashboards, integrations, management, monitoring, reporting, secure access, automated maintenance, security, compliance, and optimization of SQL performance. Users can efficiently manage all database instances through a unified interface, which simplifies the administration of databases across multiple platforms and automates routine monitoring and maintenance tasks. This integrated strategy not only enhances operational efficiency but also enables users to proactively tackle any database performance challenges that may arise, ensuring optimal system functionality at all times. Additionally, the ability to tailor the system to specific organizational needs further amplifies its effectiveness in managing complex database environments.
What is Powertech Database Monitor for IBM i?
By offering immediate visibility into every change made by users across multiple systems, security administrators can greatly mitigate the risk of unnoticed data corruption. This functionality enables seamless tracking of user changes on various platforms. When data from several interconnected systems is consolidated, it generates a cohesive view for reporting and archiving, which simplifies database security management. Furthermore, you can keep a thorough audit trail of all modifications within a secure database, aiding in adherence to stringent security regulations. Implementing filters allows you to specifically monitor and record changes to your most critical information. You have the ability to identify which fields need oversight and set criteria for initiating alerts. Powertech Database Monitor for IBM i stands out as both powerful and user-friendly, ensuring real-time surveillance of user activities on IBM i databases. The solution’s exception-based event processing significantly reduces the necessity for manual checks on database security and file integrity, thus improving operational efficiency. In addition, this all-encompassing strategy not only protects your data but also fosters a proactive approach to security management. By prioritizing security measures and integrating advanced monitoring tools, organizations can create a more resilient data environment.
Integrations Supported
IBM i
MariaDB
MongoDB
MySQL
Oracle Database
PostgreSQL
SAP Adaptive Server Enterprise (ASE)
SQL Server
Integrations Supported
IBM i
MariaDB
MongoDB
MySQL
Oracle Database
PostgreSQL
SAP Adaptive Server Enterprise (ASE)
SQL Server
API Availability
Has API
API Availability
Has API
Pricing Information
$120 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
dbWatch
Date Founded
2001
Company Location
Norway
Company Website
www.dbwatch.com/control-center/
Company Facts
Organization Name
Fortra
Company Location
United States
Company Website
www.fortra.com/products/database-security-monitoring-software-ibm-i
Categories and Features
Database Monitoring
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting
Categories and Features
Database Monitoring
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting