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DBMS > HugeGraph vs. IBM Cloudant vs. Microsoft Azure AI Search vs. RRDtool vs. Sphinx

System Properties Comparison HugeGraph vs. IBM Cloudant vs. Microsoft Azure AI Search vs. RRDtool vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBSearch-as-a-service for web and mobile app developmentIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSDocument storeSearch engineTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­searchoss.oetiker.ch/­rrdtoolsphinxsearch.com
Technical documentationhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-us/­azure/­searchoss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docs
DeveloperBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftTobias OetikerSphinx Technologies Inc.
Initial release20182010201519992001
Current release0.9V11.8.0, 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinux
macOS
Unix
hostedhostedHP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyno
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.nononono infoExporting into and restoring from XML files possible
Secondary indexesyes infoalso supports composite index and range indexyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonononoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIRESTful HTTP APIin-process shared library
Pipes
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
JavaScript
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud servicenoneSharding 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 HBaseMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnonoyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users can be defined per databaseyes infousing Azure authenticationnono

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More resources
HugeGraphIBM CloudantMicrosoft Azure AI SearchRRDtoolSphinx
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