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

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

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.TimeSeries DBMS for IoT and BigDataGlobally distributed, horizontally scalable, multi-model database service
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.32
Rank#72  Overall
#12  Key-value stores
#39  Relational DBMS
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
Websiteignite.apache.orgwww.machbase.comazure.microsoft.com/­services/­cosmos-db
Technical documentationapacheignite.readme.io/­docsendoc.machbase.comdocs.microsoft.com/­azure/­cosmos-db
DeveloperApache Software FoundationMachbaseMicrosoft
Initial release201520132014
Current releaseApache Ignite 2.6V4.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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.yesno
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noJavaScript
Triggersyes (cache interceptors and events)noJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded 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 dataACIDnoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup table
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access controlAccess rights can be defined down to the item level
More information provided by the system vendor
IgniteMachbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
IgniteMachbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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