Best Database Software for MongoDB - Page 2

The future of your PICK system requires a database platform that continually evolves to meet the needs of today’s developers. jBASE is now officially certified for Docker containers, including built-in support for the MongoDB NoSQL database, and standard APIs for Salesforce, Avalara, and dozens of other platforms. Plus new enhancements to Objects that make life easier for developers. We are continuing to invest in jBASE because we believe in PICK! While others see a decline, we’ve seen 6 years of consecutive growth. We care about your long-term success and haven’t had a maintenance price increase in decades. We play well with others by collaborating and making jBASE integrate with modern technologies like VSCode, Mongo, Docker, and Salesforce. The migration routes from other PICK databases have been vastly simplified, licensing now supports flexible CPU and SaaS-based models, and our in-line operating system approach means our scalability, speed and stability are unmatched.

Percona TokuDB® is an open source, high-performance storage engine for Percona Server for MySQL that improves scalability and operational efficiency. Designed for the demanding requirements of big data applications and large datasets, Percona TokuDB reduces the deployment costs associated with scaling and optimization efforts. Percona TokuDB and Percona Hot Backup are included in the Percona Server for MySQL download. Percona Consulting can determine if Percona TokuDB is the right storage engine solution for your business and database, and if it is, help to deploy it, while ensuring optimal performance with your open source database and mission-critical applications. If you lack the resources to manage your deployment, our managed services team can take over the full operational management of your servers, including database backup service. Lower operational and infrastructure costs and increased scalability and flexibility.

With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support, BigchainDB is like a database with blockchain characteristics. BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a blockchain database, supporting a wide range of industries and use cases. Rather than trying to enhance blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets. No single point of control. No single point of failure. Decentralized control via a federation of voting nodes makes for a P2P network. Write and run any MongoDB query to search the contents of all stored transactions, assets, metadata and blocks. Powered by MongoDB itself.

Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs).

RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.