How do you recognize poor data experiences?
You may recognize them when your application or dashboard doesn’t refresh properly. Or your supply chain application reflects data from a few days, instead of a minute ago. Or your ride-sharing app doesn’t reflect accurate pricing. Or you’ve missed identifying a fraudulent payment. The truth is, poor data experiences don’t just impact you — they impact your customers, the end users you’re working diligently to serve.
Today’s users don’t just demand data, they demand real-time visibility and insights. They demand the immediacy that empowers them to make fast, informed decisions that keep their worlds moving.
‘Real time’ doesn’t happen through sheer will. It’s the outcome of a foundation — a data architecture designed to drive instant analytics. Yet, legacy platforms can’t handle fast-moving and fast-changing data streams. They simply weren’t designed to keep up. And, too many databases cause a fragmented, overly complex look at analytics.
To truly deliver on the promise of real time, these workloads demand a key set of requirements from the underlying data platform:
The Challenge: Building Real-Time Applications & Analytics
Challenge 1: Single-node databases
Businesses at the start of their real-time application journey often start with single-node, open-source databases like MySQL, PostgreSQL, MongoDB, MariaDB and SQL Server. While these databases initially provide a good foundation, users quickly hit a single-node stall . That is, these legacy databases aren’t optimized for analytics — much less real-time, interactive analytics required to power real-time applications.
Challenge 2: Data Warehouses
Today’s data warehouses power business intelligence (BI) and reporting workloads that enable organizations to quickly aggregate and analyze large amounts of data from multiple sources to drive insights. But data warehouses aren’t optimized for low-latency analytics or large numbers of concurrent users — especially when dealing with fast-moving, streaming data from diverse sources that power modern applications and drive insights in real time.
A new approach to powering real-time analytical applications requires reducing time-to-insights for fast analytics on dynamic data for complex queries, all within sub-seconds.
The Solution: SingleStoreDB, The Database for Real-Time Applications & Analytics
The formula for a real-time system is simple: It needs to be fast, unified, scalable and resilient.
Built with a unique three-tiered storage architecture and designed for millisecond response times, SingleStoreDB is the world’s fastest distributed SQL database for real-time analytical applications. By combining transactional and analytical workloads within a multi-model structure in a single engine, SingleStoreDB eliminates performance bottlenecks and unnecessary data movement. We’re the crossroads where highly performant meets highly powerful.
Even more, SingleStoreDB meets — and exceeds — the key features and requirements necessary to truly be a real-time analytics database:
Real-Time Analytics & Applications Use Cases
The need for real-time analytics and applications is prevalent across a wide variety of industries and use cases, including:
Adtech: Marketing segmentation and ad targeting based on data from various sources
Cybersecurity: Security threat detection and analysis over device telemetry data
Read the case study: Nucleus Security Replaces MariaDB With SingleStore and Improves Query Speed Up to 20x
Read the case study: Armis Saves 70% on Data Pipeline Cost With SingleStore and Accelerates its Valuation to $3.4B
Fintech: Low-latency stock portfolio analysis based on fresh market data for high net-worth customers
Read the case study: Ant Money Migrates from PostgreSQL to SingleStoreDB Cloud, Boosting Performance 20-100x and Reducing TCO 10x
FinServ: Credit card fraud detection over a stream of purchase data and other telemetry
Read the case study: Bitwyre Trades Redis for SingleStore — and Powers an Ultra-fast, Scalable, Resilient, Secure Cryptocurrency Exchange
Energy & Utilities: Analysis of sensor data from oil wells to detect maintenance issues early, guide the drilling process and do profitability analysis
Gaming & Media: Behavioral analysis on the click traffic from web games or streaming video services to optimize end-user experience (like providing more personalized recommendations)
IoT & Telematics: Ingesting and analyzing IoT event streams or video streams for anomaly detection
Read the case study: Arcules Scales Video Surveillance and Analytics Platform with SingleStore to Support Thousands of Global Users
Martech: Faster time-to-insights for publishers and advertisers to manage their performance marketing channels for revenue generation
Read the case study: Heylink Boosts Performance 200x and Reduces Cost 30% With SingleStore — Tackling Black Friday Traffic With Ease
Retail & eCommerce: Reduce latency from 24 hours to minutes, while making data available from external sources
Supply Chain Analytics: Using real-time sensor data with predictive analytics to power the future of connected supply chains
Read the case study: Dell Transforms its PRISM Inventory System with SingleStore to Run at the Speed of Business
Unleash the Power of Your Data With SingleStoreDB
SingleStoreDB is the world’s fastest distributed SQL database for real-time analytics and applications. Ready to see for yourself? Try SingleStoreDB free today.