* Fault Tolerant - Data is automatically replicated to multiple nodes for fault-tolerance. Replication across multiple data centers is supported. Failed nodes can be replaced with no downtime. * Performant - Cassandra consistently outperforms popular NoSQL alternatives in benchmarks and real applications, primarily because of fundamental architectural choices. * Decentralized - There are no single points of failure. There are no network bottlenecks. Every node in the cluster is identical. * Durable - Cassandra is suitable for applications that can't afford to lose data, even when an entire data center goes down. * You're in Control - Choose between synchronous or asynchronous replication for each update. Highly available asynchronous operations are optimized with features like Hinted Handoff and Read Repair. * Elastic - Read and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications. * Proven - Cassandra is in use at Constant Contact, CERN, Comcast, eBay, GitHub, GoDaddy, Hulu, Instagram, Intuit, Netflix, Reddit, The Weather Channel, and over 1500 more companies that have large, active data sets.

* Sub-second OLAP Queries Druid’s column orientation and inverted indexes enable complex multi-dimensional filtering and scanning exactly what is needed for a query. Aggregate and filter on data in milliseconds. * Real-time Streaming Ingestion Typical analytics databases ingest data via batches. Ingesting an event at a time is often accompanied with transactional locks and other overhead that slows down the ingestion rate. Druid employs lock-free ingestion of append-heavy data sets to allow for simultaneous ingestion and querying of 10,000+ events per second per node. Simply put, the latency between when an event happens and when it is visible is limited only by how quickly the event can be delivered to Druid. * Power Analytic Applications Druid has numerous features built in for multi-tenancy. Power user-facing analytic applications designed to be used by thousands of concurrent users. * Cost Effective Druid is extremely cost effective at scale and has numerous features built in for cost reduction. Trade off cost and performance with simple configuration knobs. * Highly Available Druid is used to back SaaS implementations that need to be up all the time. Druid supports rolling updates so your data is still available and queryable during software updates. Scale up or down without data loss. * Scalable Existing Druid deployments handle trillions of events, petabytes of data, and thousands of queries every second.