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DBMS > Apache Hive vs. Elasticsearch vs. FeatureBase

System Properties Comparison Apache Hive vs. Elasticsearch vs. FeatureBase

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonElasticsearch  Xexclude from comparisonFeatureBase  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSSearch engine
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score123.81
Rank#9  Overall
#1  Search engines
#1  Vector DBMS
Score0.27
Rank#284  Overall
#128  Relational DBMS
Websitehive.apache.orgwww.elastic.co/­elasticsearchwww.featurebase.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.featurebase.com
DeveloperApache Software Foundation infoinitially developed by FacebookElasticMolecula and Pilosa Open Source Contributors
Initial release201220102017
Current release3.1.3, April 20228.6, January 20232022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoElastic Licensecommercial
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.
Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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 indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL queries
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP/JSON API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsync
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlAccess rights for users, groups and roles

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More resources
Apache HiveElasticsearchFeatureBase
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