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DBMS > Machbase vs. Microsoft Azure Cosmos DB vs. Sphinx

System Properties Comparison Machbase vs. Microsoft Azure Cosmos DB vs. Sphinx

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Editorial information provided by DB-Engines
NameMachbase infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionTimeSeries DBMS for IoT and BigDataGlobally distributed, horizontally scalable, multi-model database serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#286  Overall
#25  Time Series DBMS
Score31.67
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score6.47
Rank#59  Overall
#7  Search engines
Websitewww.machbase.comazure.microsoft.com/­services/­cosmos-dbsphinxsearch.com
Technical documentationendoc.machbase.comdocs.microsoft.com/­azure/­cosmos-dbsphinxsearch.com/­docs
DeveloperMachbaseMicrosoftSphinx Technologies Inc.
Initial release201320142001
Current releaseV4.03.2.1, January 2020
License infoCommercial or Open Sourcecommercial infofree test version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesno
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.no
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocol
Supported programming languagesC
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes 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.yes infovolatile and lookup table
User concepts infoAccess controlsimple password-based access controlAccess rights can be defined down to the item levelno
More information provided by the system vendor
Machbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinx
Specific characteristicsMachbase is an extremely fast time series database which processes large volumes...
» more
Competitive advantagesFastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more
Typical application scenariosDistributed Query In Machbase Cluster Edition, a broker node, which is responsible...
» more
Key customersSamsung, POSCO, Hyundai
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
» more
Licensing and pricing modelsMachbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Machbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinx
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