DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Elasticsearch vs. Hive vs. PieCloudDB

System Properties Comparison Elasticsearch vs. Hive vs. PieCloudDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionA 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 metricdata warehouse software for querying and managing large distributed datasets, built on HadoopA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.79
Rank#7  Overall
#1  Search engines
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.35
Rank#284  Overall
#130  Relational DBMS
Websitewww.elastic.co/­elasticsearchhive.apache.orgwww.openpie.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperElasticApache Software Foundation infoinitially developed by FacebookOpenPie
Initial release20102012
Current release8.6, January 20233.1.3, April 20222.1, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2commercial
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 languageJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMhosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
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.no
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
CLI Client
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.Memcached and Redis integration
User concepts infoAccess controlAccess rights for users, groups and rolesUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
ElasticsearchHivePieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchHivePieCloudDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Alation Broadens Partner Ecosystem with Amazon DynamoDB, Apache Kafka, Confluent Kafka, Elasticsearch, Fivetran ...
28 February 2024, Datanami

Amazon OpenSearch Ingestion now supports migrating your ElasticSearch indexes to Amazon OpenSearch Service
17 November 2023, AWS Blog

Cribl forges strategic alliance with Elasticsearch for enhanced observability and AI integration
17 November 2023, SiliconANGLE News

Mastering Elasticsearch: A Beginner's Guide to Powerful Searches and Precision — Part 1
21 November 2023, Towards Data Science

Searching Data in Elasticsearch: A Comprehensive Guide | by Kacper Bąk
12 August 2023, Medium

provided by Google News

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

What is Hive?: Introduction To Hive in Hadoop
31 March 2023, Simplilearn

Google Releases Hive-BigQuery Open-Source Connector
22 July 2023, InfoQ.com

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

Data Engineering in 2024: Predictions For Data Lakes and The Serving Layer
23 January 2024, Datanami

provided by Google News

36氪专访|「拓数派」创始人冯雷:数据仓库赛道中的前三架马车,要向客户交付“真正的大数据愿景”
27 March 2023, 36kr

项目报道|发布eMPP云原生分析型数据库PieCloudDB,「拓数派」希望解决传统MPP架构的缺陷
24 October 2022, 36kr

2023 龙蜥操作系统大会演讲实录:《兼容龙蜥的云原生大模型数据计算系统——πDataCS》
22 February 2024, CSDN

provided by Google News



Share this page

Featured Products

Milvus logo

The open source vector database for GenAI.
Try Managed Milvus Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here