DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Hive vs. Sequoiadb

System Properties Comparison Apache Hive vs. Sequoiadb

Please select another system to include it in the comparison.

Our visitors often compare Apache Hive and Sequoiadb with Databricks, OpenSearch and MongoDB.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonSequoiadb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.39
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Websitehive.apache.orgwww.sequoiadb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoinitially developed by FacebookSequoiadb Ltd.
Initial release20122013
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regex
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
proprietary protocol using JSON
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolessimple password-based access control

More information provided by the system vendor

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
Apache HiveSequoiadb
Recent citations in the news

18 Top Big Data Tools and Technologies to Know About in 2025
22 January 2025, TechTarget

What Is Apache Iceberg?
18 December 2024, ibm.com

Pinot for Low-Latency Offline Table Analytics
1 August 2024, Uber

Unlock efficient data processing with Iceberg
11 November 2024, SiliconANGLE News

Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation
10 June 2024, AWS Blog

provided by Google News

Continuously recognized by Gartner and Forrester, SequoiaDB consolidates its leading position in China's distributed database market
9 March 2023, PR Newswire

provided by Google News



Share this page

Featured Products

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

Neo4j logo

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

RaimaDB logo

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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

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

Present your product here