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DBMS > Heroic vs. NCache vs. OrientDB vs. Splice Machine

System Properties Comparison Heroic vs. NCache vs. OrientDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonNCache  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source and Enterprise in-memory Key-Value StoreMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.alachisoft.com/­ncacheorientdb.orgsplicemachine.com
Technical documentationspotify.github.io/­heroicwww.alachisoft.com/­resources/­docswww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperSpotifyAlachisoftOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release2014200520102014
Current release5.3.3, April 20243.2.29, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEnterprise Edition availableOpen Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaJavaJava
Server operating systemsLinux
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language, no joinsyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRJava, Javascriptyes infoJava
Triggersnoyes infoNotificationsHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HeroicNCacheOrientDBSplice Machine
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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HeroicNCacheOrientDBSplice Machine
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