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Splice Machine System Properties

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Editorial information provided by DB-Engines
NameSplice Machine
DescriptionOpen-Source SQL RDBMS powered by Spark and Hadoop
Database modelRelational DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#158  Overall
#79  Relational DBMS
Technical documentationdoc.splicemachine.com
DeveloperJohn Leach
Initial release2014
Current release2.0
License Commercial or Open SourceOpen Source extended commercial Enterprise edition available
Cloud-based Only available as a cloud serviceno
Implementation languageJava
Server operating systemsLinux
Data schemeyes
Typing predefined data types such as float or dateyes
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)yes
APIs and other access methodsJDBC
Supported programming languagesJava
Server-side scripts Stored proceduresyes Java
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
MapReduce Offers an API for user-defined Map/Reduce methodsno uses HBase instead
Consistency concepts Methods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys Referential integrityyes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes
User concepts Access controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Splice Machine
Specific characteristics

Splice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark.
The Splice Machine RDBMS executes operational workloads on Apache HBase and analytical workloads on Apache Spark.

Competitive advantagesSplice Machine is the only database on Hadoop that can support a new class of applications that are characterized by large-scale, mixed transactional and analytical workloads.
Typical application scenarios
  • Machine Learning,
  • High Volume Financial Transaction processing,
  • Internet of Things applications,
  • Digital Marketing,
  • Life Sciences applications,
  • Operational Data Lake,
  • ETL Process Acceleration
Licensing and pricing models

Free Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing.


DBTA Webinar: Leveraging Big Data with Hadoop, NoSQL and RDBMS
31 March 2017

Join Splice Machine at Strata + Hadoop World San Jose 2017!
7 March 2017

Five Reasons To Make Splice Machine Your New Database Engine
22 February 2017

10 Tips for Importing Data with Splice Machine
13 February 2017

Looking for Early Adopters for DBaaS
27 January 2017

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Splice Machine
Recent citations in the news

McKesson looks to simplify big data ecosystem for healthcare analytics
3 April 2017, TechTarget

Q&A: How a machine learning platform opens up big data possibilities
21 April 2017, TechTarget

Splice Machine Readies Cloud Big Data Service
8 February 2017, ADT Magazine

Splice Machine seeks to deliver hybrid RDBMS as a service
12 February 2017, CIO

Accelerate Apache Spark to boost big data platforms
21 April 2017, TechTarget

provided by Google News

Job opportunities

Director of Cloud Services
Splice Machine, San Francisco, CA

Distributed Systems Engineer
Splice Machine, San Francisco, CA

Site Reliability Engineer- Founding Team Member
Splice Machine, San Francisco, CA

Developer Evangelist
Splice Machine, San Francisco, CA

HBase / Spark Software Developer
Splice Machine, San Francisco, CA

jobs by Indeed

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