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. CrateDB vs. Postgres-XL

System Properties Comparison Apache Hive vs. CrateDB vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonCrateDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Database based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.50
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#225  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#12  Vector DBMS
Score0.41
Rank#261  Overall
#122  Relational DBMS
Websitehive.apache.orgcratedb.comwww.postgres-xl.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecratedb.com/­docswww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookCrate
Initial release201220132014 infosince 2012, originally named StormDB
Current release3.1.3, April 20225.8.1, August 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoMozilla public license
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 languageJavaJavaC
Server operating systemsAll OS with a Java VMAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, but no triggers and constraints, and PostgreSQL compatibilityyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions (Javascript)user defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoMVCC
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesrights management via user accountsfine grained access rights according to SQL-standard

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 HiveCrateDBPostgres-XL
Recent citations in the 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

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

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

Must-Know Techniques for Handling Big Data in Hive
14 August 2024, Towards Data Science

What Is Apache Iceberg?
26 February 2024, ibm.com

provided by Google News

CrateDB, a name that we will hear more in the future
24 October 2024, AWS Blog

Crate.io Introduces CrateDB 2.0 Enterprise and Open Source Editions
16 May 2017, Business Wire

CrateDB Announces New Executive Leadership Appointments
29 August 2023, PR Newswire

CrateDB: The IoT and machine data-focused database
14 December 2016, Network World

Crate.io Brings Power of Industrial SQL Time Series to Azure IoT Hub to Reduce IoT Systems Cost and Complexity
24 September 2018, Business Wire

provided by Google News

5 Takeaways from Big Data Spain 2017
5 December 2017, Towards Data Science

provided by Google News



Share this page

Featured Products

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

Neo4j logo

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

SingleStore logo

The data platform to build your intelligent applications.
Try it 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

Present your product here