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Rubrik -  - Challenges of NoSQL Data Management: An Architect’s View

Architecture

Challenges of NoSQL Data Management: An Architect’s View

More and more enterprises are adopting modern NoSQL databases like MongoDB and Apache Cassandra (DataStax) to enable rapid development of next-generation applications (AI/ML, IoT, eCommerce, customer experience). However, while these databases can help speed up application development, they lack enterprise-class recovery solutions, putting organizations at risk of data loss. While NoSQL databases offer capabilities such as cross data-center database replication, they do not provide point-in-time backup and recovery. If data errors are introduced or data is accidentally deleted, the databases’ redundant-node replication can lead to almost immediate corruption of critical data across all nodes. In this post, I’ll dive into NoSQL data protection requirements and the technical challenges that enterprise- grade data management solutions must address. Comprehensive data management is a must for running mission-critical applications in enterprise environments (private cloud, hybrid clouds, or public clouds). As the shift to these next-generation applications and NoSQL databases increases, we see new data management requirements emerging: Eventually-consistent databases require novel point-in-time techniques for consistent state across a database cluster. The elastic nature of next-generation databases necessitates backup and recovery to be highly available, scalable, and failure resilient. Backups need to be maintained in native (source) formats for advanced data management services such…
Rubrik -  - 50+ Customer Visits, 1 Key Theme: NoSQL Is Now Mainstream In Enterprise

Business

50+ Customer Visits, 1 Key Theme: NoSQL Is Now Mainstream In Enterprise

Over the past year, I’ve had the good fortune of sitting down with leading enterprises to speak with CIOs, enterprise architects, database engineering leaders, and more. Many of these discussions centered on the evolving world of business applications and databases and the challenges of digital transformation initiatives (customer experience, digital banking experience, data-as-a-service, real-time analytics, etc). In these discussions, I gained insight into why enterprises are embracing NoSQL databases, and several enterprise data management trends stood out to me. Here are the top three that I believe are shaping the market and CIO digital transformation initiatives the most in 2019: Enterprise NoSQL Adoption Is Now Mainstream Non-relational NoSQL databases are no longer stepchildren of the relational database space but hold their own prominent place in the enterprise data architecture strategy. In recent years, NoSQL has become critical for building cloud-native applications, given that traditional relational databases cannot deliver the same agility, flexibility, and performance that these modern applications need. NoSQL started with data stores such as MongoDB and Apache Cassandra but is now evolving to include in-memory database stores like Redis and search products like ElasticSearch and Splunk, which are fast developing as cornerstones for operational and analytical use cases.…
Rubrik -  - Rubrik Datos IO Streaming Recovery: Near-Zero RTO for NoSQL Databases

Product

Rubrik Datos IO Streaming Recovery: Near-Zero RTO for NoSQL Databases

Backup and recovery has been overlooked as backwaters of enterprise data. Innovations were incremental at best until the arrival of Rubrik, the company that led the world to rethink backup and recovery as the frontier of data management for cloud-connected enterprises. Data protection has long been a pain point for enterprises across industries. Applications built on top of traditional databases like Oracle, Microsoft SQL Server, or IBM DB2 are generally stateful end-to-end. This means that whether you are recovering from media failures, site loss or user errors, you must first shutdown the application, recover the backend database, and reconnect your application before consumers can access it again. However, things are different in the world of next-generation applications that are deployed on modern distributed architectures such as NoSQL databases (MongoDB, Apache Cassandra, DataStax, CouchBase, Apache HBase, and many others). Shared-nothing architectures, eventually consistency nature of write operations, and scale-out capabilities force us to rethink NoSQL backup and recovery. But probably the most important aspect is the shear scale of data sets that are stored and maintained in these modern NoSQL databases. These databases power a number of modern enterprise use cases, including Internet of Things (IoT), security/customer real-time analytics, customer 360…
Rubrik -  - Rubrik Agrees to Acquire Datos IO to Accelerate Cloud Leadership

Company

Rubrik Agrees to Acquire Datos IO to Accelerate Cloud Leadership

Today, we are excited to announce that Rubrik has agreed to acquire Datos IO, a market leader in application-aware data management for cloud applications built on NoSQL databases and big data file systems. Rubrik and Datos IO share a common vision of building a cloud data management control plane that can automate, orchestrate, and secure data anywhere. This acquisition expands Rubrik’s reach into mission-critical cloud applications adopted by the Fortune 500. Enterprises use these NoSQL databases and big data file systems to power the bleeding edge mission critical applications in several domains: Internet of Things, artificial intelligence/machine learning, real-time analytics, eCommerce, security and mobile analytics. As these companies leverage modern NoSQL databases (MongoDB, Cassandra, Couchbase, Amazon DynamoDB) and big data file systems (Cloudera, Hortonworks) to drive digital transformation, the ability to manage and protect these applications is critical. Datos IO’s flagship platform RecoverX has pioneered application-aware data management for cloud applications built on NoSQL databases and big data file systems. This game-changing platform delivers critical backup and recovery capabilities, while supporting modern enterprise use cases like cloud mobility, queryable recovery, and in-place analytics. Datos IO has also filed 22 patents for application-centric data management, which is a testament to their…