BoltDB Description
Bolt is a Go-based key/value store that draws inspiration from Howard Chu's LMDB initiative. This project aims to deliver a straightforward, efficient, and dependable database solution for applications that do not necessitate the complexity of full-fledged database servers like Postgres or MySQL. Given its design as a fundamental tool, the emphasis is on simplicity. The API is intentionally minimal, concentrating solely on retrieving and storing values. This singular focus on being a pure Go key/value store has led to Bolt's success by avoiding unnecessary feature bloat. However, this narrow focus implies that the project is effectively complete. The upkeep of an open-source database demands significant time and dedication, as even minor modifications can lead to unforeseen and potentially severe issues, necessitating extensive testing and validation for any changes made. As a result, the commitment to maintaining the integrity of the project remains paramount.
BoltDB Alternatives
Plexxis Software
PLEXXIS is a subcontractor solution uniting project management, accounting, estimating, takeoff and mobile apps on a single tech stack.
Plexxis also provides 100% in-house implementation and support services and PLAIN LANGUAGE agreements that PROTECT SUBCONTRACTORS FROM;
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3) SMOKE STACKING: When software vendors oversell the level of integration of products in a tech stack.
4) OVERAGES: When software vendor provides just service rates and non-committal plan or suggested cost to onboard in a way that sets the client up for change orders
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Google Cloud SQL
Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety.
Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.
Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.
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LevelDB
LevelDB is a high-performance key-value storage library developed by Google, designed to maintain an ordered mapping between string keys and string values. The keys and values are treated as arbitrary byte arrays, and the stored data is organized in a sorted manner based on the keys. Users have the option to supply a custom comparison function to modify the default sorting behavior. The library allows for multiple changes to be grouped into a single atomic batch, ensuring data integrity during updates. Additionally, users can create a temporary snapshot for a consistent view of the data at any given moment. The library supports both forward and backward iteration through the stored data, enhancing flexibility during data access. Data is automatically compressed using the Snappy compression algorithm to optimize storage efficiency. Moreover, interactions with the external environment, such as file system operations, are managed through a virtual interface, giving users the ability to customize how the library interacts with the operating system. In practical applications, we utilize a database containing one million entries, where each entry consists of a 16-byte key and a 100-byte value. Notably, the values used in benchmarking compress to approximately half of their original size, allowing for significant space savings. We provide detailed performance metrics for sequential reads in both forward and reverse directions, as well as the effectiveness of random lookups, to showcase the library's capabilities. This comprehensive performance analysis aids developers in understanding how to optimize their use of LevelDB in various applications.
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Apache Accumulo
Apache Accumulo enables users to efficiently store and manage extensive data sets across a distributed cluster. It relies on Apache Hadoop's HDFS for data storage and utilizes Apache ZooKeeper to achieve consensus among nodes. While many users engage with Accumulo directly, it also serves as a foundational data store for various open-source projects. To gain deeper insights into Accumulo, you can explore the Accumulo tour, consult the user manual, and experiment with the provided example code. Should you have any inquiries, please do not hesitate to reach out to us. Accumulo features a programming mechanism known as Iterators, which allows for the modification of key/value pairs at different stages of the data management workflow. Each key/value pair within Accumulo is assigned a unique security label that restricts query outcomes based on user permissions. The system operates on a cluster configuration that can incorporate one or more HDFS instances, providing flexibility as data storage needs evolve. Additionally, nodes within the cluster can be dynamically added or removed in response to changes in the volume of data stored, enhancing scalability and resource management.
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Integrations
Company Details
Company:
BoltDB
Website:
github.com/boltdb/bolt
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