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DBMS > Dgraph vs. NCache vs. Sphinx vs. TDengine

System Properties Comparison Dgraph vs. NCache vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelGraph DBMSKey-value storeSearch engineTime Series DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitedgraph.iowww.alachisoft.com/­ncachesphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdgraph.io/­docswww.alachisoft.com/­resources/­docssphinxsearch.com/­docsdocs.tdengine.com
DeveloperDgraph Labs, Inc.AlachisoftSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2016200520012019
Current release5.3.3, April 20243.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions 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 languageGoC#, .NET, .NET Core, JavaC++C
Server operating systemsLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternoyes
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 indexesyesyesyes infofull-text index on all search fieldsno
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 (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRnono
Triggersnoyes infoNotificationsnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyesyesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes, with selectable consistency levelnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoPlanned for future releasesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noyes
More information provided by the system vendor
DgraphNCacheSphinxTDengine
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
TDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
High Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» 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
TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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