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DBMS > Databricks vs. Hyprcubd vs. MarkLogic vs. NCache

System Properties Comparison Databricks vs. Hyprcubd vs. MarkLogic vs. NCache

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHyprcubd  Xexclude from comparisonMarkLogic  Xexclude from comparisonNCache  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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.Serverless Time Series DBMSOperational and transactional Enterprise NoSQL databaseOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.96
Rank#195  Overall
#29  Key-value stores
Websitewww.databricks.comhyprcubd.com (offline)www.progress.com/­marklogicwww.alachisoft.com/­ncache
Technical documentationdocs.databricks.comwww.progress.com/­marklogic/­documentationwww.alachisoft.com/­resources/­docs
DeveloperDatabricksHyprcubd, Inc.MarkLogic Corp.Alachisoft
Initial release201320012005
Current release11.0, December 20225.3.3, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C#, .NET, .NET Core, Java
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.yesnoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyes infoSQL92SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (https)Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesPython
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infovia XQuery or JavaScriptno infosupport for stored procedures with SQL-Server CLR
Triggersnoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nonoyes, with Range Indexesyes
User concepts infoAccess controltoken accessRole-based access control at the document and subdocument levelsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatabricksHyprcubdMarkLogicNCache
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...
» 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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DatabricksHyprcubdMarkLogicNCache
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