DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hive vs. PieCloudDB vs. RocksDB vs. Solr

System Properties Comparison Hive vs. PieCloudDB vs. RocksDB vs. Solr

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPieCloudDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSolr  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA cloud-native analytic database platform with new technologoy for elastic MPPEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitehive.apache.orgwww.openpie.comrocksdb.orgsolr.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­facebook/­rocksdb/­wikisolr.apache.org/­resources.html
DeveloperApache Software Foundation infoinitially developed by FacebookOpenPieFacebook, Inc.Apache Software Foundation
Initial release201220132006
Current release3.1.3, April 20222.1, January 20238.11.4, April 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMhostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typing
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
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Thrift
CLI Client
JDBC
ODBC
C++ API
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
Java
PL/SQL
Python
R
C
C++
Go
Java
Perl
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesoptimistic locking
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUser Roles and pluggable authentication with full SQL Standardnoyes
More information provided by the system vendor
HivePieCloudDBRocksDBSolr
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
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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

More resources
HivePieCloudDBRocksDBSolr
DB-Engines blog posts

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

show all

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Apache Software Foundation Announces Apache® Hive 4.0
30 April 2024, GlobeNewswire

ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0
2 May 2024, Datanami

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

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

DataCentral: Uber's Observability and Chargeback Platform
1 February 2024, Uber

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

The Journey to a Million Ops / Sec / Node in Venice
16 March 2024, InfoQ.com

Facebook's MyRocks Truly Rocks!
21 September 2020, Open Source For You

provided by Google News

(SOLR) Technical Data
17 May 2024, news.stocktradersdaily.com

SOLR-led walkout demands better conditions for Compass workers
27 February 2024, Daily Northwestern

SOLR hosts May Day amid ongoing contract negotiations
13 May 2024, Daily Northwestern

SOLR hosts teach-in of labor movements at Northwestern
28 January 2024, Daily Northwestern

SearchStax Launches Serverless Solr Service to Accelerate Cloud-Native Application Development
5 April 2023, PR Newswire

provided by Google News



Share this page

Featured Products

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Neo4j logo

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here