"We needed a database that could provide low-level API access for ultimate design control and to allow us to fine-tune performance, as well as a product that provided a standard SQL interface to meet our ease-of-use reporting expectations from our customers, Raima’s database delivered perfectly on this requirement."
"͞With RDM Seƌveƌ 8.0 the data delays completely disappeared. We didŶ’t do aŶy foƌŵal performance testing but we saw at least 50% better performance when comparing RDM Server to the SQL database solution."

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data using your existing business intelligence tools for less than a tenth the cost of traditional solutions.
Clustrix is the leading scale out SQL database, engineered for the cloud. Clustrix provides a radically simple SQL database that enables applications to scale to unlimited users, transactions and data, while eliminating database sharding and automating fault tolerance. Clustrix software is in production both as an appliance and on Amazon Web Services with more than one trillion transactions per month running through Clustrix databases worldwide. Customers include Rakuten, CSC, Symantec, AOL, MakeMyTrip, Photobox, MedExpert, engage:BDR, AdScience, and Massive Media. Clustrix has its headquarters in San Francisco, with branch offices in Seattle and London.
VividCortex provides deep database performance monitoring to increase system performance, team efficiency, and infrastructure savings. The GDPR and SOC 2 compliant, SaaS platform offers complete visibility into all major open source databases – MySQL, PostgreSQL, Amazon Aurora, MongoDB, and Redis – for the entire engineering team at scale without overhead. Industry leaders – like Etsy, GitHub, SendGrid, and Yelp – rely on VividCortex for all-query monitoring, easy drill-down views across thousands of servers concurrently. With VividCortex, customers see 90% less time spent diagnosing database issues, 75% faster queries, 10x more productivity, and 50% lower resource costs.









