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Life moves in real time, and the modern world expects real-time insights and action.
The foundation for making real-time real is your choice of database. The more complex the data plumbing, the longer it takes for you to ingest, analyze and act on data.
During our [r]evolution 2022 event that we recently hosted, we talked about how SingleStoreDB was built ground-up for real-time use cases, explained what it means to be real time, detailed innovations that enable data evolution, referenced research highlighting the performance and savings evolution benefits that are now possible, noted why businesses need (and some already have) a database for the data-intensive era and outlined the best path forward to achieving true real-time operations.
One: It’s time to get real about real time.
As SingleStore CEO Raj Verma explained, there is a lot of noise going around in our market about real time. Raj helped to clear the air so that people can more easily differentiate real, real-time database companies from businesses that talk the real-time talk but cannot walk the walk.
Shireesh Thota, SingleStore’s Senior Vice President of Engineering, explained that the modern data stack is broken. The complexity of these transformations, he said, lead customers to build a lot of siloed enterprise architectures, and what ends up happening is that the time to insight is much longer. So there’s a need to shorten the time between the moment a transactional piece of data enters the system and when the business can gain insights.
Real time needs fast technology. But what makes a database fast is not really query optimization, as Raj noted — it’s the storage architecture. Our three-tier storage architecture — memory, disk and object store — empowers customers with response times within milliseconds. Our unification of different data models (relational, key-value, time-series, geospatial, full-text search, document, etc.) allows customers to do most work using a single platform rather than having to stitch together databases. And SingleStore pioneered the unification of transactions and analytics in one engine enabling ultra-fast ingest and time to insights. All that provides SingleStore customers with speed, scale, savings, resilience and reliability that are beyond compare.
Two: SingleStore continues to innovate.
Three: A unified database improves performance and yields savings.
Not only does a unified database enable real-time speed, but it also delivers major savings.
The independent report by the respected tech analyst firm found that SingleStoreDB is 50% more cost-effective over three years than the Snowflake-MySQL stack. GigaOm said that organizations can achieve 60% savings over three years using SingleStoreDB as opposed to a Redshift-PostgreSQL stack. And GigaOm said that we are up to 100% faster than Redshift for TPC-H workloads. What’s more, SingleStoreDB is one of the only databases that can do TPC-H and TPC-DS competitively with cloud data warehouses and TPC-C benchmark in a very reasonable scale.
Four: Data intensity is here to stay — you can succumb to it or use it to thrive.
Almost all applications depend one way or the other on data, and the data requirements of applications are becoming more and more rigorous. As SingleStore Chief Innovation Officer Oliver Schabenberger explained during [r]evolution 2022, that’s a sign of data intensity.
Data intensity depends on many factors, including (1) data size, (2) speed of ingestion, (3) latency requirements, (4) complexity and (5) concurrency. Such factors lead many companies to add one database after another to address these considerations and add functionality. Unfortunately, that leads to highly complex systems, based on a multitude of technologies, that are difficult to maintain and nearly impossible to scale. But there is a better way.
SingleStore’s general-purpose, cloud-native database for transactional workloads that has multi-model capabilities and is built for speed allows organizations to address data intensity without complexity — and that is a measure of digital maturity. Leading companies such as Uber, Comcast and ARMIS use SingleStore to solve data-intensive problems every day.
Five: Leading companies are evolving and succeeding — and you can, too.
SingleStore helps businesses thrive in today’s data-intensive, real-time environment. Just look at what SingleStore customers and [r]evolution speakers Siemens and Impact have achieved:
“With the stack we were in before, as much as we tried to optimize data, structures and SQL itself, we couldn’t get report run times to go under two seconds,” said Mauricio Aristizabal, principal data architect at Impact, “whereas with SingleStore we’ve been able to address all the different reporting needs in sub-second times. So, that was the main requirement – to be able to deliver a positive human experience and delight our customers. Now that we’ve adopted SingleStore as our full data warehouse, we are able to serve all other workloads. Being able to have data in one place and serve all kinds of different tenants and workloads is just wonderful.”
Christoph Malassa, head of analytics and intelligence solutions at Siemens, said this about his SingleStore experience: “We now have the ability to do analytics on data volumes that we couldn’t do in the past. We are now doing more and more advanced analytics live. The analytics that you can now do give you way more insight. This is tremendous for the business. And the process improvements that SingleStore enables makes it a lot easier for us to innovate faster.”
It makes me immensely proud that, in our own small way, SingleStore is helping deliver great customer experiences and timely insights that improve people’s lives.