The Company is currently accepting early adopters to evaluate its Cloud RDBMS and is offering incentives for companies to sign up. Ideal customers meet the following criteria: The need to power an ...
Splice Machine, a provider of a Hadoop RDBMS, has added a $3 million extension to its Series B financing. Venture capital firm Correlation Ventures, along with database industry leaders Roger J. Sippl ...
Splice Machine, provider of a scalable SQL database, is releasing Splice Machine 3.0, introducing disaster recovery capabilities, enhanced SQL coverage, and more. Features in Splice Machine 3.0 ...
Splice Machine can already boast of having the only real-time SQL-on-Hadoop database for Big Data and now they have additional funding to further expand the company’s offerings. We caught up with ...
Splice Machine announced the 2.0 version of its RDBMS, a hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine’s version 2.0 delivers a database solution that incorporates the proven ...
Splice Machine advertises itself as “the only Hadoop RDBMS.” The idea is to give you a transactionally correct database that has the underlying scalability features of HBase. According to its creators ...
The company will ship Splice Machine 3.0 this quarter, offering new workload management, high-availability and security enhancements that better position the next-generation database for ...
SAN FRANCISCO, Calif., July 18 — Splice Machine, the open-source RDBMS powered by Hadoop and Spark, today announced a cloud-based sandbox for developers to put its new open-source 2.0 Community ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
CHARLOTTE, N.C., Oct. 14, 2019 /PRNewswire-PRWeb/ -- Diyotta, Inc., an enterprise-class, serverless data integration platform for modern data environments, today announced that it is joining with ...
It's common practice for database and analytics products to AI-wash themselves. For instance, many platforms have added support for running Spark compute jobs, and because Spark supports ML, they can ...
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