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DBMS > Hive vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Teradata Aster

System Properties Comparison Hive vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database servicePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitehive.apache.orgwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-db
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdblearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftTeradata
Initial release2012201320142005
Current release3.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
hostedLinux
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infoJSON typesyes
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.noyes infoin Aster File Store
Secondary indexesyesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScriptR packages
TriggersnonoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users, groups and rolessimple rights management via user accountsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTeradata Aster
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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