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.
Based on our record, Redis should be more popular than Airbyte. It has been mentiond 190 times since March 2021. 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.
AgentCloud uses Airbyte to build data pipelines, which allow us to split, chunk, and embed data from over 300 data sources, including Postgres. - Source: dev.to / about 2 months ago
I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us. It's an immature tool, so I don't yet know that I can claim we've spent _less_ than... - Source: Hacker News / 7 months ago
As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script. Source: 11 months ago
Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database. - Source: dev.to / 12 months ago
In conclusion, data integration is not just a luxury for companies but a necessity for striving toward success in today’s data-driven world. In today’s competitive business environment, those who can effectively integrate and leverage data from different sources will have a strategic advantage over others who don’t. So, as technology continues to advance and data continues to grow exponentially, businesses that... - Source: dev.to / about 1 year 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 / 25 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 / 7 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 / 17 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 / 18 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 / 29 days ago
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Meltano - Open source data dashboarding
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.