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DBMS > Splice Machine

Splice Machine System Properties

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Editorial information provided by DB-Engines
NameSplice Machine
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#181  Overall
#92  Relational DBMS
Websitesplicemachine.com
Technical documentationdoc.splicemachine.com
DeveloperSplice Machine
Initial release2014
Current release2.0
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJava
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Splice Machine
Specific characteristics

THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING

For data-rich, real-time applications with embedded AI/ML

Splice Machine brings together OLTP, OLAP, ML in one platform to deliver the capabilities applications need to be intelligent and scale.

-Scale-out architecture with auto-sharding handles any workload at any scale

-Create, deploy and manage your ML models at any scale.

-Deploy on public or private clouds or on-premises with Kubernetes.

Competitive advantages

Operational Workloads:

  • Full ACID support with high performance at scale
  • Multi-row transactions
  • Low latency, auto-sharded row storage with primary keys
  • Secondary indexes, triggers, and stored procedures

Analytical Workloads

  • Distributed joins
  • High throughput column storage
  • In database analytic and window functions
  • Flexible distribution options

ML Workloads

  • JupyterLab and JupyterHub
  • Spark
  • MLFlow
  • Keras, Tensorflow, Scikit, H20, 
  • Endpoint and NativeDB Inference
Typical application scenarios
  • New AI/ML and IoT Applications
  • Data Warehouse Offloads
  • Application Modernization (including legacy mainframe applications)
  • Cloud Migration
Licensing and pricing models

Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm

Free Trial: https://cloud.splicemachine.io/register

News

Three Ways to Talk Machine Learning with Splice Machine in January
6 January 2021

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

How to Cut Costs and Digitally Transform
1 May 2020

How To Migrate A Legacy SQL Application To The Cloud With AI
10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Splice Machine
Recent citations in the news

Big Data Analytics in Banking Market Outlook 2021, Global Industry Overview by Manufacturers – Splice Machine, HP, VMware, Alteryx, Hitachi Data Systems, Google, Splunk Enterprise, IBM, Teradata, Tableau, Alation, Amazon AWS, SAP SE, New Relic, Microsoft, Oracle
15 January 2021, NeighborWebSJ

How Splice Machine's Data Platform for Intelligent Apps Works
29 September 2020, eWeek

Splice Machine Announces Livewire, the Operational AI Platform Designed for Industrial Use Cases
4 November 2020, PRNewswire

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

provided by Google News

Job opportunities

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Unisoft Technology Inc., Germantown, MD

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