Fivetran
Stitch
Talend Data Integration
Xplenty
Airbyte
Hevo Data
Workato
DataTap
etcd
Apache ZooKeeper
Docker Hub
Eureka
Apache Thrift
SkyDNS
runc
Traefik
FivetranFivetran is recommended for small to large businesses that require efficient data integration from multiple sources into their data warehouse. It is ideal for organizations looking for a fully managed service to simplify their ETL/ELT processes, especially those using cloud-based data warehousing solutions such as Snowflake, BigQuery, or Redshift.
Based on our record, etcd should be more popular than Fivetran. It has been mentiond 39 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.
Even looking past these limitations, internal scripts invariably require development and maintenance time, and as any developer knows, can break at the worst of times :) Method #2: Use Zapier? (https://zapier.com) Want to use Zapier to do this? You canโt. Not only because it doesnโt track deletes, updates to existing records, and only does one way syncs. But because Snowflake isnโt supported. Method #3:... - Source: Hacker News / over 3 years ago
Disclaimer: I work for Fivetran, a data integration company. Source: almost 4 years ago
Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here. Source: almost 4 years ago
I really like the theme theyโre using on https://fivetran.com. Source: about 4 years ago
From experience then, believe me when I say you don't want to build these. Thankfully, ETL products like Fivetran and Stitch run and maintain these extraction processes for you. - Source: dev.to / about 4 years ago
Kubernetes runs on etcd, which uses the Raft consensus algorithm. It's a proven model for what it was designed to do: keep a single cluster's state perfectly consistent. When you create a deployment or a pod dies, every node in the cluster agrees on the new state of the world almost instantly. - Source: dev.to / 2 months ago
However, custom controllers face significant challenges when handling large volumes of data. Kubernetes relies on ETCD for all data storage, which limits scalability, flexibility, and performance for complex or high-volume workloads. What are the main issues? - Source: dev.to / 10 months ago
For storing data in Kubernetes, we have another key component of the Control Planeโ โ โetcd. - Source: dev.to / 12 months ago
Etcd: A distributed key-value store maintaining cluster state and configuration data. ETCD backup strategies are critical for disaster recovery. - Source: dev.to / 11 months ago
So we have to then take into consideration our data store and investigate if it's able to handle this form of incrementation. Conveyor CI uses etcd, a key-value store, it is reliable and highly performant. As we investigated further into the architecture of etcd, we realized that internally etcd uses Multi-Version Concurrency Control (MVCC) which allows reads at specific revisions of a record or key. This means... - Source: dev.to / 11 months ago
Stitch - Consolidate your customer and product data in minutes
Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.
Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.
Docker Hub - Docker Hub is a cloud-based registry service
Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.
Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.