DbVisualizer
DbVisualizer is one of the world’s most popular database clients.
Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries.
It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes.
Free and Pro versions are available.
Learn more
KrakenD
Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization.
In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions.
On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.
Learn more
Amazon Keyspaces
Amazon Keyspaces, an advanced database service compatible with Apache Cassandra, offers a scalable and highly available solution that is fully managed. This service allows you to seamlessly execute your Cassandra workloads on AWS using the same application code and developer tools that are already in your toolkit. There is no need for you to provision, patch, or oversee servers, nor to install or manage any software. Operating on a serverless model, Amazon Keyspaces ensures that you only pay for the resources you utilize, with the ability to automatically adjust table capacity in alignment with application demand. You can develop applications capable of handling thousands of requests every second while benefiting from almost limitless throughput and storage options. Amazon Keyspaces empowers you with the performance, flexibility, and essential enterprise features necessary for managing critical Cassandra workloads effectively at scale. Additionally, it supports rapid data processing for applications that demand extremely low latency, making it ideal for scenarios such as industrial equipment maintenance and trade monitoring, ensuring that your business operations remain efficient and responsive.
Learn more
KairosDB
KairosDB allows data ingestion through various protocols including Telnet, Rest, and Graphite, in addition to supporting plugins for further flexibility. It utilizes Cassandra, a well-regarded NoSQL database, to manage time series data effectively. The database schema is organized into three column families, facilitating efficient data storage. The API offers a range of functionalities, such as listing existing metric names, retrieving tag names and their corresponding values, storing metric data points, and querying these points for analysis. Upon a standard installation, users can access a query page that enables them to extract data from the database easily. This tool is primarily tailored for development applications. Aggregators within the system can perform operations on data points, allowing for down sampling and analysis. A set of standard functions, including min, max, sum, count, and mean, among others, are readily available for users to utilize. Additionally, the KairosDB server supports import and export functionalities via the command line interface. Internal metrics related to the database not only provide insights into the stored data but also allow for monitoring the performance of the server itself, ensuring optimal operation and efficiency. This comprehensive approach makes KairosDB a powerful solution for managing time series data.
Learn more
