Pipedrive
Zoho CRM
Freshsales CRM
Copper
SugarCRM
Insightly
Alore CRM
Base CRM
Apache Cassandra
Redis
MongoDB
ArangoDB
PostgreSQL
OrientDB
neo4j
MySQL
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business. Sign up for a 14-day free trial.
Pipedrive Apache CassandraPipedrive has made our business much more efficient in following up deals. Keep track of deals, meetings, mails and phone calls all in one place. We can quickly follow up on offers and used Pipedrive's automations and API to integrate our Vizito trials directly into Pipedrive.
It offers the most flexibility while maintaining an easy-to-use interface and their support is superb!
Keep up the great work!
All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.
Based on our record, Apache Cassandra seems to be a lot more popular than Pipedrive. While we know about 44 links to Apache Cassandra, we've tracked only 2 mentions of Pipedrive. 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.
I feel like Microsoft could offer a more robust CRM than what's present with 'Contacts' under Outlook, and pretty easily. Something like Pipedrive... I mean it could syncronize all the datapoints that local Microsoft programs already have access to: mail, contacts, projects, teams, and LinkedIn. Source: over 2 years ago
Pipedrive → our CRM for tracking leads, tasks, conversations, and deals. We chose Pipedrive because it does a good job of providing an intuitive and relatively simple CRM while still having enough features to track our sales conversations. Pricing is accessible. Source: over 3 years ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 21 days ago
All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 months 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 / about 1 year 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 year ago
Zoho CRM - Omnichannel CRM for Businesses of all sizes
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
