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DBMS > EJDB vs. Splice Machine

System Properties Comparison EJDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#322  Overall
#44  Document stores
Score0.77
Rank#200  Overall
#95  Relational DBMS
Websiteejdb.orgsplicemachine.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.splicemachine.com
DeveloperSoftmotionsSplice Machine
Initial release20122014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsin-process shared libraryJDBC
Native Spark Datasource
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EJDBSplice Machine
News

How to Break Data Silos to Drive Enterprise-Wide AI
11 June 2021

Point-in-Time Correctness in Machine Learning
1 June 2021

The Compliance Nightmare Lurking in Your Data Science Team
6 May 2021

Whose Job Is It Anyway?
23 April 2021

How Optimizing MLOps Can Revolutionize Enterprise AI
15 April 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EJDBSplice Machine
Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine 3.0 integrates machine learning capabilities, database
6 March 2020, TechTarget

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

Splice Machine 3.1 enhances support for real-time AI deployments
9 March 2021, VentureBeat

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

provided by Google News

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