Company Overview of Splice Machine, Inc.
Splice Machine, Inc. develops Hadoop RDBMS to scale real-time applications using commodity hardware without application rewrites. The company’s RDBMS offers real time updates on a flexible general-purpose database platform. Its RDBMS is used for various applications that include digital marketing, ETL acceleration, operational data lake, operational applications, operational analytics, and Internet of Things. The company was incorporated in 2012 and is based in San Francisco, California.
612 Howard Street
San Francisco, CA 94105
Founded in 2012
Key Executives for Splice Machine, Inc.
Co-Founder, Chief Executive Officer, President and Director
Co-Founder and Chief Technology Officer
Co-Founder and Vice President of Products & Operations
Vice President of Customer Solutions
Compensation as of Fiscal Year 2016.
Splice Machine, Inc. Key Developments
Splice Machine's New Open-Source RDBMS Sandbox Goes Live on Amazon Web Services
Jul 18 16
Splice Machine announced a cloud-based sandbox for developers to put its new open-source 2.0 Community Edition to the test. In addition, the Company has released the general availability of an Open-Source stand-alone and cluster download, the general availability of its V2.0 and the launch of its developer community site. The Splice Machine V2.0 sandbox is powered by Amazon Web Services (AWS) and allows developers to initiate a cluster in minutes. The sandbox allows the developer to choose the number of nodes in the cluster and each node's type to accommodate a range of tests, from small to enterprise scale. Splice Machine is now available in a free, full-featured Community edition and a licensed Enterprise edition. The Enterprise edition license includes 24/7 support, and includes features such as backup and restore, LDAP support, Kerberos support, encryption, and column-level access privileges. To support the growing Splice Machine community, the Company has launched a community website that includes: tutorials, videos, a developer forum, a GitHub repository, a StackOverflow tag and a Slack channel. These resources are rich with code to help developers, data scientists and DevOps learn to use Splice Machine, and will continue to grow with contributions from the entire community. Now generally available, Splice Machine 2.0 integrates Apache Spark, a fast, open-source engine for large-scale data processing, into its existing Hadoop-based architecture, creating a flexible, hybrid database that enables businesses to perform simultaneous OLAP and OLTP workloads. Splice Machine 2.0 features include: Scale-Out Architecture " Cost-effectively scales out on commodity hardware with proven auto-sharing on HBase and Spark. Transactional SQL " Supports full ACID properties in a real-time, concurrent system. In-Memory Technology " Achieves outstanding performance for OLAP queries with in-memory technology from Apache Spark. Resource Isolation " Allows allocation of CPU and RAM resources to operational and analytical workloads, and enables queries to be prioritized for workload scheduling. Management Console " A Web UI allows users to see the queries that are currently running, and to then drill down into each job to see the current progress of the queries, and to identify any potential bottlenecks. Compaction Optimization " The compaction of storage files is now managed in Spark rather than HBase, providing significant performance enhancements and operational stability. Apache Kafka-enabled Streaming " Enables the ingestion of real-time data streams. Virtual Table Interfaces " Allows developers and data scientists to use SQL with data that is external to the database, such as Amazon S3, HDFS, or Oracle. The new architecture includes the ability to easily access external data and libraries. The Splice Machine RDBMS can execute federated queries on data in external databases and files using Virtual Table Interfaces (VTIs). It can also execute all pre-built Spark libraries (over 130 and growing) for machine learning, stream analysis, data integration and graph modeling.
Splice Machine Announces Version 2.0 of Its RDBMS
Nov 17 15
Splice Machine announced the 2.0 version of its RDBMS, the first hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine's version 2.0 delivers a database solution that incorporates the proven scalability of Hadoop, ANSI SQL, ACID transactions, and the in-memory performance of Spark. The new, flexible hybrid database enables businesses to perform simultaneous OLAP and OLTP workloads and increase performance over traditional RDBMS, such as Oracle® & MySQL™, by 10-20X at one-fourth the cost. Splice Machine is now accepting applications to test the public beta of its version 2.0 product. Splice Machine 2.0 integrates Apache Spark, a fast, open source engine for large-scale data processing, into its existing Hadoop-based architecture. Splice Machine 2.0 has the following benefits: Transactional SQL – Supports existing OLTP applications without rewrites of existing SQL or retraining of developers. Scale-OutArchitecture – Cost-effectively scales out on commodity hardware with proven technology from Hadoop and Spark. In-MemoryTechnology – Achieves outstanding performance for OLAP queries with in-memory technology from Spark.
With the addition of Spark, Splice Machine 2.0 delivers high performance for mixed OLTP and OLAP workloads. It is ideal for a variety of use cases, including: digital marketing, ETL acceleration, operational data lakes, data warehouse offloads, IoT applications, web, mobile, and social applications, and operational applications.
Splice Machine 2.0 includes advanced resource management to ensure high-performance for simultaneous OLTP and OLAP queries. With separate processes and resource management for Hadoop and Spark, the Splice Machine RDBMS can ensure that large, complex OLAP queries do not overwhelm time-sensitive OLTP queries. Users can set custom priority levels for OLAP queries to ensure that important reports are not blocked behind a massive batch process that consumes all cluster resources.
Splice Machine Releases Version 1.5 of Hadoop RDBMS
Oct 20 15
Splice Machine announced the release of version 1.5 of its Hadoop RDBMS, adding multiple enterprise-ready features that enable businesses to confidently replace their traditional RDBMSs, such as Oracle & MySQL, with an affordable, scale-out alternative that delivers 5-10x greater performance at one fourth the cost. In working with customers and partners, the Splice Machine team identified key functionality and performance improvements that would enable companies to increase the benefits of using Splice Machine to power real-time applications, run operational data lakes or accelerate their ETL pipelines. The Hadoop RDBMS running on the enterprise-grade MapR Distribution including Hadoop gives customers a high-performance and massively scalable platform for transactional workloads on real-time data. New features included with version 1.5 of Splice Machine's Hadoop RDBMS include: SQL Compliance, Foreign Keys Enables referential integrity between tables. Triggers Provides the ability to execute procedural code based on update, insert or delete actions. BI Tool Compatibility (example Tableau, MicroStrategy). Temporary Tables Enables BI Tools to create temporary tables to perform operations on intermediate results. SQL Functions Deliver pre-built functions such as TOP N, LIMIT N, MONTHNAME, QUARTER, WEEK and NOW. Incremental Backup Provide recovery from data corruption by backing up data changed since last backup. Window Functions Provide FIRST, LAST, LEAD and LAG functions for advanced analytical queries. Performance, Enhanced Statistics Collect more granular statistics required to choose best query plan. Cost-Based Optimizer Improvements Improves ordering of table access, selection of query plans, index selection, join algorithm selection (Example, broadcast join, merge join, merge sort join, batch nested loop join). Subquery Unrolling Converts nested subqueries in joins, accelerating certain analytical queries by well over 1,000 times. The Splice Machine database is available for licensing at a per node price that includes 24/7 technical support. Version 1.5 is also now available to download and try on company website.
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