Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
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Based on our record, Redis seems to be a lot more popular than SQL Backup And FTP. While we know about 190 links to Redis, we've tracked only 6 mentions of SQL Backup And FTP. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Too bad! We haven't used that in awhile. But I remembered another that worked well. Have you used: Https://sqlbackupandftp.com/ ? Source: over 1 year ago
I like to use SQLBackupandFTP for generic monitoring of backup jobs and online status of my databases. Source: over 1 year ago
This tool might have something useful for you: https://sqlbackupandftp.com/. Source: almost 2 years ago
SQL Backup and FTP creates a backup by partnering with storage services such as Amazon S3. All backups created by the tool are compatible with MySQL, PostgreSQL, RDS, Azure SQL, and other platforms. The tool performs different kinds of backups, including full and differential backups, backing up transaction logs, backing up files and folders, and it can even encrypt them if necessary. - Source: dev.to / about 2 years ago
I find https://sqlbackupandftp.com/ an excellent utility for this. Source: over 2 years ago
We can take the previously mentioned idea of partitioning the database further by breaking up an application into multiple applications, each with its own database. In this case each application will communicate with the others via something like REST, RPC (e.g. gRPC), or a message queue (e.g. Redis, Kafka, or RabbitMQ). - Source: dev.to / 28 days ago
Redis is an open-source, in-memory key-value data store known for its speed and performance. It supports various data structures like strings, lists, sets, and hashes. - Source: dev.to / 9 days ago
Valkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open source Berkeley Software Distribution (BSD) 3-clause license after the Redis license changes. - Source: dev.to / 20 days ago
Many popular open source projects are beloved and closely tied to particular vendors. For example, web frameworks like React and Angular are associated with Meta and Google, respectively. Database software like MongoDB, Elasticsearch, and Redis are also tied to specific commercial entities but are widely used and praised for their functionality. When there is a clear driver of a project, it can offer some benefits:. - Source: dev.to / 21 days ago
One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / about 1 month ago
MySQLDumper - MySQLDumper is a PHP and Perl based tool for backing up MySQL databases.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Arcserve UDP - Arcserve UDP is data backup & recovery software that deals with unified data protection solutions, making you protect your computer system by creating data stores on the recovery point server.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Comet Backup - Comet is advanced backup software for MSPs, IT Companies and Backup Providers.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.