Pipedrive is a fantastic tool to help monitor and track lead generation and referral sources. It helps maintain accountability with the sales team and helps ensure that we are doing appropriate marketing to maintain a steady influx of cases. The weekly and quarterly sales reports that it can generate are incredibly helpful and insightful. They help inform us of what we need to focus on each quarter/year.
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If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
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Great visual visibility of the funnel plus easy to drag the deals across the stages
The email integration that collects all relevant communication (also through the possibility of adding a deal-specific Pipedrive address on BCC)
The integration with Pandadoc, which we use a lot, so that Pipedrive keeps a really handy overview of the documents we have sent out / which have been signed
[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
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Showing the customers name on the pipeline page. Right now I can only get it to show the brand name twice. I wish it would replace the second brand name with the main point of contact.
Better reporting tools. Their reporting tools are not easy to pick up. I've spent time trying to figure it out and it isn't something I can pick up on quickly.
Better training options. I wish I had a personal trainer to walk me through the best way to use Pipedrive so I can get the most out of it.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Pipedrive is easy to use and has a clean interface so we can follow up accurately. Its custom features help manage leads and evaluate team performance. It saves time and improves efficiency. Pipedrive is stable and supports integrations and automation.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
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Between quick video tutorials and having very quick feedback from their support teams, it is one of the main reasons I would recommend Pipedrive. It is critical, especially when setting up the platform to meet your companies needs, that a solid support team like Pipedrive has is there to make the transition easier.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I much prefer the interface of Pipedive when compared to Zoho. Much more user friendly and the team is always readily available when we need them. Pipedrive allowed for many custom integrations to be added, as Zoho was a tad more complicated to manipulate. We would not go back to Zoho in any case.
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Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
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Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
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Great on setup which made our work easier and less technically equipped people can manage a lot of things(compared to SalesForce where you need to hire a developer to set it up)
We were able to integrate our calling system easily and get things going on the lead calling aspect.
Great multipipeline option where we were able to manage both organisations under one roof.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
