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DBMS > Apache Hive vs. Apache IoTDB vs. Datastax Enterprise

System Properties Comparison Apache Hive vs. Apache IoTDB vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.
Primary database modelRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score1.40
Rank#151  Overall
#14  Time Series DBMS
Score4.74
Rank#64  Overall
#4  Wide column stores
Websitehive.apache.orgiotdb.apache.orgwww.datastax.com/­products/­datastax-enterprise
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datastax.com
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationDataStax
Initial release201220182011
Current release3.1.3, April 20221.1.0, April 20236.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM (>= 1.8)Linux
OS X
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Native API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyesAccess rights for users can be defined per object
More information provided by the system vendor
Apache HiveApache IoTDBDatastax Enterprise
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Apache HiveApache IoTDBDatastax Enterprise
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