Basho today announces Basho Riak TS, a distributed, NoSQL database designed for the internet of things and massive amounts of streaming, unstructured data. Importantly, Riak TS is optimized to support time series analytics marked by the ability to ingest and analyze data from sensors, logs, financial data, user activity and performance and risk metrics. The ability of Basho TS to support time series data involves co-location functionality that ensures data from the same time resides on the correct node to enable the most accurate analysis, as well as definitions of fields and tables that support structured and semi-structured data. Basho Riak TS also supports SQL-based queries as well as an integration with Apache Spark to further support analytics on streaming data. Like its counterpart Basho KV, Riak TS delivers massive scalability and high availability to enable production-grade usage on datasets that require time-series analytics. Basho Riak TS also integrates with the Basho Data Platform, an integrated Big Data platform that empowers customers to create high performing applications for real-time analytics. All told, Basho Riak TS marks a notable addition to Basho’s portfolio of Big Data products as represented by the optimization of its design for time series analytics and its concomitant ability to embrace analytic use cases for the internet of things.
Basho Technologies has announced the development of a framework that allows Riak KV to run on Apache Mesos in collaboration with Cisco. The integration of Riak KV, a highly available distributed database, with Apache Mesos allows users of Riak KV to take advantage of the conjunction of the massive scalability and operational simplicity of Mesos. As such, the conjunction of Riak KV and Apache Mesos enables Basho customers to embrace use cases featuring globally distributed internet of things data and big data applications that ingest massive volumes and velocities of streaming data. Mesos takes control of the infrastructure requirements of the system whereas Riak KV owns the data layer in the form of a NoSQL database that allows users to store and access data for interactive mobile and web applications that feature concurrent, real-time input from millions of users. The integration of Riak KV with Apache Mesos will be available on Cisco’s Intercloud, an evolving marketplace for cloud and big data products that features an emerging array of products for building hybrid clouds. By bringing Riak KV and Mesos into the mix, Cisco proleptically sets the stage for a turnkey, cloud-big data platform marked by the confluence of cloud infrastructures and big data stores such as Riak KV. The decision to integrate Apache Mesos alongside Riak KV underscores Cisco’s interest in operational simplicity given the reputation of Mesos for its ability to allocate shared resources in distributed data environments. All told, Cisco continues to make systematic, step-wise progress toward a leadership role in the emerging cloud and big data space as evinced by Riak KV’s ability to leverage the scheduling, massive scalability and operational simplicity of the Mesos architecture. Customers should expect to hear more announcements from Cisco about how products such as Riak KV fit into a larger solution that leverages the other components of its portfolio, with an anticipated focus on increased integration between the cloud and data tiers of its Intercloud platform.
Basho Technologies today announced the release of the Basho Data Platform, an integrated Big Data platform that enhances the ability of customers to build applications that leverage Basho’s Riak KV (formerly Riak) and Riak S2 (formerly Riak CS). By integrating Riak KV, Riak, Apache Spark, Redis and Apache Solr, the Basho Data Platform enhances the ability of customers to create high performing applications that deliver real-time analytics. The platform’s integration with Redis cache allows users to leverage the capability of Redis to improve the read performance of applications. The platform also boasts an integration with Apache Solr that builds upon the ability of Riak to support searches powered by Apache Solr. Moreover, the Basho Data Platform supports the replication and synchronization of data across its different components in ways that ensure continued access to applications and relevant data. The graphic below illustrates the different components of the Basho Data Platform:
The Basho Data Platform responds to a need in the marketplace to complement high performance NoSQL databases such as Riak with analytics and caching technologies such as Apache Spark and Redis, respectively. The platform’s cluster management and orchestration functionality absolves customers of the need to use Apache Zookeeper for cluster synchronization and cluster management. By automating provisioning and orchestration and delivering Redis-based caching functionality in conjunction with Apache Spark, the platform empowers customers to create high performance applications capable of scaling to manage the operational needs of massive datasets. Today’s announcement marks the release of an integrated platform that stands poised to significantly augment the ease with which customers can build Riak-based Big Data applications. Notably, the platform’s ability to orchestrate and automate the interplay between its different components means that developers can focus on taking advantage of the functionality of Apache Spark and Redis alongside Riak KV and Riak S2 without becoming mired in the complexities of provisioning, cluster synchronization and cluster management. As such, the platform’s out of the box integration of its constituent components represents a watershed moment in the evolution of Riak KV and Riak S2 and the NoSQL space more generally as well.
Basho Technologies, creator of the Riak NoSQL key-value database platform, today announced the finalization of $25M in Series G funding led by existing investor Georgetown Partners. In addition to the funding news, Basho revealed details of record growth including sequential growth of 62 percent and 116 percent in Q3 and Q4 of 2014 respectively. 2014 represented a landmark year for Basho given that it shipped Riak 2.0, Riak CS 1.5 and appointed Adam Wray, former CEO of Tier 3, as CEO. In the same year, Basho replaced Oracle as the database platform for the National Health Service of UK and deepened its relationship with The Weather Company as noted below by Bryson Koehler, executive vice president and CITO for The Weather Company:
The amount of data we collect from satellites, radars, forecast models, users and weather stations worldwide is over 20TB each day and growing quickly. This data helps us deliver the world’s most accurate weather forecast as well as deliver more severe weather alerts than anyone else, so it is absolutely mission critical and has to be available all of the time. Riak Enterprise gives us the flexibility and reliability that we depend on to enable over 100,000 transactions a second with sub 20ms latency on a global basis.
Here, Koehler remarks on the ability of Riak Enterprise to handle “over 100,000 transactions a second” with latencies less than 20 ms. Importantly, The Weather Company’s daily data collection rate of 20 TB a day illustrates the massive volumes of data that Enterprise Riak can aggregate for archival and analytic use cases. As told to Cloud Computing Today in an interview with Basho CEO Adam Wray, Riak also gained traction in verticals such as gaming, healthcare and financial services in 2014 with much of its uptake propelled by trends in the technology industry marked by increased adoption of Big Data, distributed systems and applications in the cloud computing space and the growth of the internet of things vertical. Wray further remarked that Riak stands strongly positioned to reap the benefits of increased stakeholder awareness about the value of key-value stores and concepts such as eventual consistency. Today’s capital raise brings the total funding raised by Basho to $65M. With an extra $25M in the bank and an enviable roster of enterprise customers out of the gate, the NoSQL space should expect Basho to build steadily upon its success in 2014 by gaining even more market traction amongst Fortune 50 customers and staking out its positioning amongst the likes of MongoDB, MarkLogic, Couchbase and DataStax, with a particular focus on sharpening its differentiation in comparison to other key-value store databases such as Couchbase and DataStax.
Basho technologies today announces the release of Riak Enterprise 2.0, the production-grade NoSQL database that competes primarily with Cassandra. Riak Enterprise 2.0 features renovated search functionality by means of the integration of Apache Solr, the open source enterprise search platform. Each Riak node will now contain an instance of Apache Solr that enables enhanced search functionality throughout the Riak platform. This release also features expanded support for distributed data types such as counters, sets, flags and maps that facilitate conflict resolution in an eventually consistent data environment. Use cases for Riak involve datasets that change both with limited frequency and in real-time. The use case marked by a limited rate of change of data includes customers in the insurance and claims industry that leverage Riak to allow their members to locate physician practices or the nearest automobile repair center. Conversely, other use cases for Riak involve data collection from household appliances or devices such as fitness wearables marked by hugely dynamic data streams.
In addition to enhanced search functionality and an expanded range of distributed data types, Riak Enterprise 2.0 features simplified configuration management and more advanced security via more finely grained role-based access functionality. In all, today’s release represents a notable enrichment of a product that, in conjunction with Riak CS, is used by a third of Fortune 50 companies for applications and cloud storage. The release of Riak Enterprise 2.0 builds upon a recent decision by the National Health Service to use Basho’s Enterprise Riak platform to power Spine, the NHS’s electronic medical records platform that stores data for over 20,000 points of medical care across England. As such, Riak Enterprise 2.0 signals the intensification of battles for market share in the key-value NoSQL space, particularly given DataStax’s recent hefty $106M Series E capital raise.
Cloud Computing Today recently had the privilege of speaking with Dave McCrory, CTO of Basho Technologies, about the NoSQL space and Basho’s competitive differentiation within the NoSQL landscape. McCrory elaborated on Basho’s Riak “open source, distributed database” by noting its high availability, scalability and ability to handle any type of data as follows:
Cloud Computing Today: How do you envision the NoSQL space? What are your high level impressions of the competitive landscape amongst NoSQL vendors?
Dave McCrory (Basho Technologies): The NoSQL industry has many players for various use cases, but overall it is still young, especially from the enterprise point of view. I’ve been involved in big data for quite some time, and as data continues to grow, the NoSQL industry will grow with it. As the early adopters begin to move to the early majority – we are positioned in that space for crossing that chasm. Looking at how people want to build applications and data we will see, as an industry, in the next few years nearly half of enterprises will embrace NoSQL technologies to deal with the problems that traditional databases cannot deal with. Other NoSQL providers like MongoDB have an amazing presence in the market as it has made it easy for developers to give it a try. From my understanding from the market view, at the same time, it is limited in the actual applications that can be used. With so many companies offering NoSQL solutions for specific use cases and the high demand for data management, I can only see the industry continuing to expand and thrive.
Cloud Computing Today: Where do you see Basho within the larger NoSQL space at present?
Dave McCrory (Basho Technologies): We’re looking to provide the strongest key value solution and object store we can – that’s our priority right now. Although we at Basho are still a fairly young company, I think our technology speaks for itself. Since starting at Basho in the spring, I’ve been able to work with the outstanding Basho engineers and I’m amazed by what they have accomplished. Riak and Riak CS use simplified administrative features and a key/value system which enable anyone with command line experience to build a cluster in less than 15 minutes. I believe that Riak’s simplicity and usability are what separates it from other companies in the NoSQL space.
Some of that usability is our differentiation expressed in terms of high availability, fault tolerance and the ability to scale well beyond many of our competitors.
Cloud Computing Today: What are the key differentiators of Riak? What does Basho have planned for Riak in subsequent releases in the near future?
Dave McCrory (Basho Technologies): Riak’s key differentiators are its ability to offer high availability, massive scale and a variety of data types. Since Riak stores data as binary it is able to handle any type of data, unlike other solutions. Its top features include operational ease at large scales, always-on availability, and the ability to add and remove nodes easily and quickly as needed.
We are unique in that we have built object storage on our foundation and offer both key value and object store from the same platform. We have a thriving community, but our go to market in very focused on the enterprise. That has resulted in almost 200 enterprise customers including a third of the Fortune 50.
We have a lot planned for Basho and Riak in the coming months. We recently launched Riak CS 1.5 which offers additional Amazon S3 compatibility, performance improvement in garbage collection processes, and new, simplified administrative features. We are releasing Riak 2.0 in the fall which will provide enhanced search capability, expanded data types and more customer control over consistency, and we are hosting the annual RICON conference in Las Vegas in October, so you’ll be hearing a lot from Basho the rest of the year!
Today, Basho named Adam Wray as CEO and Dave McCrory as CTO after recently losing outgoing CEO Greg Collins and CTO Justin Sheehy to other ventures. An open-source distributed database used by the likes of Best Buy, Comcast and the United Kingdom’s National Health Service, Basho’s flagship technology Riak delivers an enterprise-grade NoSQL platform marked by scalability, high availability and fault tolerance that can handle rapidly expanding datasets such as those from the internet of things, or telemetry, web-based and digital gaming data. In addition to Riak, Basho is the creator of Riak CS, a cloud-based object storage database. Incoming CEO Adam Wray commented on the market opportunity for Basho as follows:
Enterprises are getting serious about production-capable unstructured databases that scale, like NoSQL, and Basho is able to help them address this. Riak partners and investors support this need, and we have a long list of companies engaged to leverage our solutions – including The Weather Company, Best Buy and Comcast. I am looking forward to working with the management team and collaborating with the community and stakeholders to take advantage of the increasing enthusiasm within enterprises for non-structured databases that can scale across production environments.
Prior to Basho, Wray was most recently President and CEO of Iaas vendor Tier 3, which he grew to a company with a $10M+ annual rate from a startup with a small client base. Tier 3 was acquired by CenturyLink in November 2013. Previously, he held leadership roles at Amazon, Akamai Technologies and Limelight Networks. CTO McCrory comes to Basho after having served as SVP of engineering at Warner Music Group, senior architect at Cloud Foundry and cloud architect at VMware. Basho’s Riak technology competes against the likes of MongoDB, Cassandra, DataStax, CouchDB and Couchbase in a competitive NoSQL landscape that looks set to explode as enterprises become increasingly comfortable acquiring and managing non-relational datasets.