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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
Score0.70
Rank#206  Overall
#102  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

Check Out Splice Machine’s Recent Podcast Appearances
26 March 2021

Data Lineage Doesn’t Have to be Hard
18 March 2021

How Feature Stores Will Revolutionize Enterprise AI
9 March 2021

Feature Stores Need an HTAP Database
4 March 2021

What Is a Feature Store?
26 February 2021

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

Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
9 March 2021, PRNewswire

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PRNewswire

Big Data Analytics in Banking Market Share Analysis, High Demand, Features, Key Insight by Top Leaders – Splice Machine, HP, VMware, Alteryx, Hitachi Data Systems, etc
12 April 2021, SoccerNurds

Splice Machine Adds Support for Real-Time AI | Transforming Data with Intelligence
9 March 2021, TDWI

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

provided by Google News

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Unisoft Technology Inc., Germantown, MD

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