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DBMS > Databricks vs. Memcached vs. NCache vs. OrientDB

System Properties Comparison Databricks vs. Memcached vs. NCache vs. OrientDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMemcached  Xexclude from comparisonNCache  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory key-value store, originally intended for cachingOpen-Source and Enterprise in-memory Key-Value StoreMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Relational DBMS
Key-value storeKey-value storeDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitewww.databricks.comwww.memcached.orgwww.alachisoft.com/­ncacheorientdb.org
Technical documentationdocs.databricks.comgithub.com/­memcached/­memcached/­wikiwww.alachisoft.com/­resources/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperDatabricksDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalAlachisoftOrientDB LTD; CallidusCloud; SAP
Initial release2013200320052010
Current release1.6.25, March 20245.3.3, April 20243.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoEnterprise Edition availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#, .NET, .NET Core, JavaJava
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or datenopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocolIDistributedCache
JCache
LINQ
Proprietary native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono infosupport for stored procedures with SQL-Server CLRJava, Javascript
Triggersnoyes infoNotificationsHooks
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallityyes, with selectable consistency levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and roles; record level security configurable
More information provided by the system vendor
DatabricksMemcachedNCacheOrientDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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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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DatabricksMemcachedNCacheOrientDB
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