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DBMS > Databend vs. NCache vs. Oracle Rdb vs. Sphinx

System Properties Comparison Databend vs. NCache vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonNCache  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.alachisoft.com/­ncachewww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationdocs.databend.comwww.alachisoft.com/­resources/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperDatabend LabsAlachisoftOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release2021200519842001
Current release1.0.59, April 20235.3.3, April 20247.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoEnterprise Edition availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#, .NET, .NET Core, JavaC++
Server operating systemshosted
Linux
macOS
Linux
Windows
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesno
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 indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yesSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRno
Triggersnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic locking and pessimistic lockingyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
DatabendNCacheOracle RdbSphinx
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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DatabendNCacheOracle RdbSphinx
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