Apache Cassandra VS Insightly
Compare Apache Cassandra VS Insightly and see what are their differences
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Apache Cassandra
MongoDB
Redis
ArangoDB
neo4j
PostgreSQL
OrientDB
Azure Cosmos DB
Insightly
Pipedrive
Zoho CRM
Copper
Freshsales CRM
SugarCRM
Alore CRM
WORKetc CRM
Apache Cassandra InsightlyI recently tried out Insightly's servise and I absolutely appreciate it! It's extremely intuitive and user-friendly, making it easy for me to keep track of all my customer relationships as well as manage projects. Plus, the pricing is very affordable compared to some of the other similiar to this project management systems out there - a total win! I highly recommend Insightly.
Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 40 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.
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 / 18 days 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 / about 2 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: 7 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 / 8 months ago
To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Pipedrive - Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Zoho CRM - Omnichannel CRM for Businesses of all sizes
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Copper - Copper (formerly ProsperWorks) is easy-to-use customer relationship management for small businesses. Capture contacts and sales leads direct from Gmail with our simple CRM.