From AI and machine learning, to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting an organization’s data-driven goals.
Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities.
DBTA recently held a roundtable webinar featuring Jeff Bayntun, manager, customer success, Simba Technologies, a Magnitude company; Suphatra Rufo, principal product marketing manager, Couchbase; and Ali LeClerc, director of product marketing, Alluxio, who discussed the top trends in modern data architecture for 2020.
Right now there is a bottleneck of market fragmentation, Bayntun explained, there are many different types of databases and database offerings to choose from.
Companies use many databases and different databases solve different problems which lead to a buildup of data that becomes “locked” away. There are also limitations with the SQL ecosystem and it can be very ad-hoc for tools supporting non-SQL Access, Bayntun said.
He suggested using the Simba platform to connect all data within the enterprise. The platform now has tooling and integrations with Apache Hive, Spark, Hadoop distributions, Databricks, and more. Simba partnered with Couchbase in 2014 to build for the first Couchbase ODBC/JDBC drivers. Simba builds the official DataStax, Cosmos DB and Dynamo DB ODBC/JDBC drivers.
Rufo noted the evolving growth of the cloud being a big factor in upcoming trends this year. Relational database management systems are also growing in use.
According to Rufo, the industry is seeing the death of monolithic legacy database systems. They are expensive, proprietary, offer vendor lock-in, and more.
Couchbase can offer what customers want, she said. Couchbase is a NoSQL database that supports interactions online, in store, or on the go.
Couchbase Mobile extends Couchbase Server to the edge with an embedded NoSQL database (Couchbase Lite) and a web gateway (Sync Gateway).
Couchbase offers a network-centric architecture with a high-performance replication backbone that allows the database to be easily extended while maintaining performance at scale. It supports ever increasing look-to-book ratios and highly seasonal workloads that cause significant spikes in throughput demands. Couchbase scales (in, out, up, or down) easily and withoutdisruption to meet these demands, Rufo said.
LeClerc said people are moving from mainframes to big data. Companies are moving from tightly integrated to loosely integrated architectures. Cloud and the expanding influx of data are changing the marketplace.
Alluxio’s goal is to orchestrate data for the cloud for data driven apps such as big data analytics, machine learning, and AI. The platform can accelerate modern app frameworks running on HDFS/S3-based data lakes or warehouses, LeClerc explained.
An archived on-demand replay of this webinar is available here.