Datastreamer vs. Panoply

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Datastreamer	Score7.3 out of 10	N/A	Datastreamer is turnkey data platform to source, unify, and enrich unstructured data with less work than building data pipelines in-house. Traditional ETL processes and pipelines might not meet the needs of organizations who want to implement unstructured and semi-structured sources such as external social media, blogs, news, forums, and dark web data into their products. This leaves data teams to build pipelines internally which comes with time-draining technical complexities and…	N/A
Panoply	Score8.5 out of 10	N/A	Panoply, from Sqream since the late 2021 acquisition, is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.	N/A

Pricing is determined by which data sources, AI models, and components are added to a pipeline multiplied by the data volume. This is highly-customizable and varies by use-case. Reach out to our team for a demo to discuss pricing for your specific needs.

Panoply offers simple, transparent pricing. All plans have a 21-day free trial—no credit card required. You'll get an account executive and data architect to help you get the most out of your smart data warehouse. Pricing starts at $325/month.

User Ratings
	Datastreamer	Panoply
Likelihood to Recommend	7.3 (1 ratings)	10.0 (4 ratings)
Usability	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	Datastreamer	Panoply
Likelihood to Recommend	Datastreamer Datastreamer has great competency in aggregation and classification of large amounts of unstructured, conversational/social data. We perform media monitoring on social media data which is infinitely large and changing every second. Datastreamer is able to stream that high volume of complex data reliably. There are other solutions better suited for small data movement efforts. The AI models and operations set Datastreamer apart from simple web API's that only collect data and pass it on without augmenting it's value. Very appropriate for organizations looking to use this type of information to understand and classify sentiment, identify themes/insights to assist in decision making across multi-department roles in an organization: PR, marketing, security etc. Anne-Marie Moore COO (Chief Operating Officer) Read full review	Sqream Technologies Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents. Incentivized Verified User Read full review
Pros	Datastreamer No answers on this topic	Sqream Technologies Ease of data integrations. Importing data into the data warehouse is a point-and-click effort. Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself. Query speed. Automated query optimization has really sped up our dashboards. Verified User Read full review
Cons	Datastreamer No answers on this topic	Sqream Technologies The user interface could use some improvement for analytical tools. Apart from that, it’s great. John Cromwell Data Entry Read full review
Usability	Datastreamer No answers on this topic	Sqream Technologies It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs. John Cromwell Data Entry Read full review
Alternatives Considered	Datastreamer No answers on this topic	Sqream Technologies Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive. Incentivized Verified User Read full review
Return on Investment	Datastreamer No answers on this topic	Sqream Technologies Saved time on Redshift setup Saved support costs (monetary and temporal) by not having to set up on-premise Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms Peter Weinberg Analyst Read full review
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Datastreamer vs. Panoply

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