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DBMS > HugeGraph vs. Memcached vs. Microsoft Azure AI Search vs. QuestDB vs. Sphinx

System Properties Comparison HugeGraph vs. Memcached vs. Microsoft Azure AI Search vs. QuestDB vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app developmentA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSKey-value storeSearch engineTime Series DBMSSearch engine
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.memcached.orgazure.microsoft.com/­en-us/­services/­searchquestdb.iosphinxsearch.com
Technical documentationhugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­searchquestdb.io/­docssphinxsearch.com/­docs
DeveloperBaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftQuestDB Technology IncSphinx Technologies Inc.
Initial release20182003201520142001
Current release0.91.6.25, March 2024V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licensecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava (Zero-GC), C++, RustC++
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
hostedLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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 infoalso supports composite index and range indexnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL with time-series extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesGroovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes 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.yesnoyes infothrough memory mapped files
User concepts infoAccess controlUsers, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authenticationno
More information provided by the system vendor
HugeGraphMemcachedMicrosoft Azure AI SearchQuestDBSphinx
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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