Cyclr
Zapier
ifttt
Boomi
Make.com
Cloud Elements
Microsoft Power Automate
MuleSoft Anypoint Platform
Apache Cassandra
MongoDB
Redis
ArangoDB
PostgreSQL
neo4j
OrientDB
MySQL
Cyclr is a SaaS integration toolkit for SaaS platforms and app developers, providing a complete solution to serve your customers integration needs -- all from within your application. Cyclr enables you to deliver integrations to 100s of popular apps and services with low-code and low engineering overhead. Cyclr also handle all the updates, cutting development teams integration maintenance overhead.
Integrations are created using a drag and drop designer, enabling members of your wider teams (customer success, sales and support) to build and publish new integrations and workflows in minutes.
Integrations can then be published directly into your application so your users can self-serve. This can be achieved by building your own UI on top of Cyclr's fully featured API, or through deploying their white-labelled and completely customisable embedded marketplace.
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This is the best platform to use. You can rely on this platform for different kind of work. Highly recommended
Based on our record, Apache Cassandra seems to be a lot more popular than Cyclr. While we know about 41 links to Apache Cassandra, we've tracked only 1 mention of Cyclr. 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.
Other good solutions with similar features would be PieSync, Automate.io, Zapier, Cyclr, Workato. All of these app integrations allow you to connect your Mailchimp account with your SaaS app (in your case with your database). Source: about 3 years ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / 9 days ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 month ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 3 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.