The Ledger
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Sisense's system gets faster as more people use it concurrently
“So the outcome is actually that the more you use the system, the faster it gets. So this is a system that gets faster with more users, not slower.”
Orad: Sisense processed 10TB of data in 10s on a $1k server
“Taking 10 terabytes, 10 terabytes, and in 10 seconds, running all the algorithm analysis on a standard Dell server that cost, you know, a thousand dollars.”
In-memory analytics technology is already a thing of the past
“In-memory is not the future, it's already the past.”
Sisense analyzed 10 terabytes in 10 seconds on a sub-$10k server
“We demonstrated Strata in Santa Clara last year, 10 terabytes, ok, analyzing 10 seconds on a sub-ten-thousand dollar standard Dell server.”
Orad: VCs rejected Sisense, leading a founder's father to invest $2M
“And they went to the VC community, and everyone told them they're stupid and refused to invest, so the guy's dad gave him a lot of money. Two million dollars, so you need to have the right parents, I guess.”
eBay analyzes 1.5 billion records in 3 seconds using Sisense
“EBay is using it to analyze what people are buying and selling online. Trends in pricing, new versus old, Samsung versus iPhone, ok? Billion and a half record set, complex dashboards open in three seconds.”
Sisense demonstrated analyzing 1TB of data on a $750 laptop
“When we launched in Strata in New York last year, we demonstrated a terabyte of data analyzed on a 750 dollar laptop with eight gigs of RAM.”
Sisense handles 3,000 concurrent users on a single server
“Most in-memory product requires additional five to 10% for additional concurrent user because they keep copies of the data, ok? Slices doesn't do none of that. It stays pretty flat. You could do 3000 users on a single server without adding additional memory, o…”
Sisense considers its major acquisition of Periscope Data to be a merger
“So Sisense made an acquisition in of Periscope data. It was a big one. So we actually consider it a merger.”
Embedded analytics accounts for roughly half of Sisense's overall business
“So from the OEM white labeled side, so being embedded in other products it's about half of the business”
Sisense's knowledge graph leverages 650 billion metadata points collected over ten years
“What the universal knowledge graph does, the second piece is it takes six hundred and fifty billion data points collected over the past 10 years, again, metadata points, and it's able to provide knowledge out of the box.”
Kramer: Marketing and HR have more female leaders than technical roles
“We do tend to see more of the marketing and the HR functions still have the greater amount of women leaders versus some of the more technical.”
Sisense plans to integrate Python and R into a notebook interface
“Coming soon, we will also integrate the rest of the notebook like experience, being able to put Python and R within the experience and instantly get your insights.”
UiPath uses Sisense to power its RPA analytics and monitoring
“UiPath is a public one that we do that with. So when you're using UiPath's RPA, all of the monitoring and all of the analytics within is Sisense.”
Sisense added data pipeline capabilities for direct write-backs to cloud warehouses
“The new capabilities that we've added is being able to write back to the cloud data warehouse.”
An airport cart client achieved 400 percent ROI within three months
“So we had a customer, That was able to work with us and within three months because of how they were able to optimize their inventory. They do carts within airports. So this was obviously before COVID. They were seeing a 400% return on investment.”
Orad: Sisense has over 1,000 customers including NASA, eBay, and Target
“A thousand customers from NASA to Lockheed Martin, to Sandisk, to Motorola, to eBay, to Target, you name it, really nice names.”
Target uses Sisense across 1,800 stores to identify shrinkage
“Target is using it to analyze data from 1800 stores to identify what they call Shrinkage or shoplifting, ok?”
Sisense re-architected its analytics platform on microservices for cloud scaling
“We're completely microservices based architecture. Another decision made to stay ahead of the game was a rewrite of the platform. And so now we can fit into any cloud ecosystem in scale as the data and the analytics scale.”