Apache Flink VS Pipedrive

Apache Flink Reviews

Pipedrive Reviews

1. Pieter Jan    

   Co-founder at Vizito | almost 2 years ago
   The best CRM for our SaaS business

   Pipedrive 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!

   🏁 Competitors: HubSpot CRM, Teamleader

   👍 Pros:    Easy to use|Quick and easy|Stable|Easy integration|Api integration|Rest api|Cost-efficient
2. jeet998    

   Chief Manager at Entab Infotech Pvt Ltd | over 4 years ago
   Best CRM Software: PipeDrive

   All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.

Apache Flink mentions (27)

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 26 days ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

• Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog

  Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago

Pipedrive mentions (2)

• Why doesn't Microsoft have a better CRM product...?

  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 1 year ago

• Building Reach in Public

  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 2 years ago