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DBMS > Graphite vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. OpenMLDB vs. Sphinx

System Properties Comparison Graphite vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. OpenMLDB vs. Sphinx

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSearch-as-a-service for web and mobile app developmentGlobally distributed, horizontally scalable, multi-model database serviceAn open-source machine learning database that provides a feature platform for training and inferenceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSSearch engine
Secondary database modelsVector DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbopenmldb.aisphinxsearch.com
Technical documentationgraphite.readthedocs.iolearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-dbopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperChris DavisMicrosoftMicrosoft4 Paradigm Inc.Sphinx Technologies Inc.
Initial release20062015201420202001
Current releaseV12024-2 February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++, Java, ScalaC++
Server operating systemsLinux
Unix
hostedhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateNumeric data onlyyesyes infoJSON typesyesno
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 indexesnoyesyes infoAll properties auto-indexed by defaultyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
Sockets
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
SQLAlchemy
Proprietary protocol
Supported programming languagesJavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJavaScriptnono
TriggersnonoJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionnono
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyesyes
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.noyes
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardno

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More resources
GraphiteMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOpenMLDBSphinx
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