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DBMS > Splice Machine

Splice Machine System Properties

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Our visitors often compare Splice Machine with HBase, Hive and Cassandra.

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
Score0.48
Rank#160  Overall
#82  Relational DBMS
Websitewww.splicemachine.com
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
OS X
Solaris
Windows
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
ODBC
Supported programming languagesJava
JRuby
Scala
Server-side scripts Stored proceduresyes Java
Triggersyes
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.

News

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

Splice Machine Alleviates the Headache of Migrating from Oracle
23 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

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

Google's Cloud Spanner To Settle the Relational vs NoSQL Debate?
28 February 2017, iProgrammer

Exploring the Possibilities: Insights from Gartner Data & Analytics Summit - B-EYE
20 March 2017, Network

Splice Machine Touts Hybrid Big Data Workloads in Update
29 November 2016, ADT Magazine

provided by Google News




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