ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions. Hundreds of data connectors ClicData has connectors that allow users to pull data automatically from hundreds of business applications and databases. Data warehousing and ETL…
$79
per month
Amazon Redshift
Score 7.9 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Pricing
ClicData
Amazon Redshift
Editions & Modules
Premium
$79
per month
Team
$269
per month
Business
$525
per month
Enterprise
Custom Quote
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
Offerings
Pricing Offerings
ClicData
Amazon Redshift
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
$71 data volume, type of data source and level of automation
No setup fee
Additional Details
All plans include multiple users licenses but dashboards can be shared with external users via live links, no license needed.
Plans and pricing vary based on the data connectors, refreshes, and the level of automation needed.
A few hours of Expert Service are including in all plans but more hours can be purchased.
A white label option is also available for consultants and agencies.
We used ClicData dashboards in a somewhat unorthodox way: we used "Indicators", or icons within tables to represent data, and the results looked great. The ability to integrate 3rd party HTML into dashboards was valuable (although Clic Data correctly warns that response time may suffer). The ability to start small and release dashboards incrementally suited our needs very well. We also valued the responsive account team getting us quickly pointed in the right direction.
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)
[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.
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.
Like I mentioned before, the ease of use means we not only get very quick results and beautiful dashboards in minutes, it means my team is actually using it because they aren't frustrated in the learning curve or wasting time trying to accomplish simple tasks.
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.
We've only needed support a couple times in the beginning as we were learning the system and how to display our data in interesting ways. Every time we reached out we got very detailed responses and were connected to someone that you could tell was very interested in making sure we were happy with how things were going.
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
ClicData was the most flexible. It is cloud-based and even has WebService access. You can publish your data for access from other applications. The sheer number of data connectors is amazing. The ability to not only create dashboards, but you can schedule them to be delivered to specific recipients on a scheduled basis via PDF or a static HTML page.
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.
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.
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.
