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 > Hive vs. Ignite vs. Kinetica

System Properties Comparison Hive vs. Ignite vs. Kinetica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.69
Rank#14  Overall
#9  Relational DBMS
Score4.93
Rank#71  Overall
#10  Key-value stores
#40  Relational DBMS
Score0.74
Rank#204  Overall
#102  Relational DBMS
Websitehive.apache.orgignite.apache.orgwww.kinetica.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docswww.kinetica.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationKinetica
Initial release201220152012
Current release3.1.2, August 2019Apache Ignite 2.66.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial
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 languageJavaC++, Java, .NetC, C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and rolesSecurity Hooks for custom implementationsAccess rights for users and roles on table level

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
HiveIgniteKinetica
DB-Engines blog posts

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

show all

Recent citations in the news

WANdisco sends Hadoop data and metadata to Databricks cloud data lakes – Blocks and Files
24 May 2021, Blocks and Files

2021-25 Open-Source Database Software witness to huge demands in upcoming years | SQLite, Apache Hive, Redis, Neo4j, MariaDB, Couchbase, MongoDB – The Manomet Current
10 June 2021, The Manomet Current

Open-Source Database Software Market Analysis 2021 By Top Keyplayers | MySQL, Redis, Couchbase, Apache Hive, MongoDB, SQLite – The Courier
11 June 2021, The Courier

The Apache® Software Foundation Welcomes its Global Community Online at ApacheCon(TM) Asia 2021
9 June 2021, StreetInsider.com

Dremio's Dart initiative further consolidates lake and warehouse paradigms
3 June 2021, ZDNet

provided by Google News

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

GridGain Control Center Now Available as a Cloud Service
24 May 2021, GlobeNewswire

The Apache® Software Foundation Welcomes its Global Community Online at ApacheCon(TM) Asia 2021
9 June 2021, StreetInsider.com

Optimizing the Relationship Between Apache Ignite and Kubernetes
9 October 2020, Container Journal

GridGain Systems Continues Move to the Cloud with New Control Center Release
28 May 2021, Database Trends and Applications

provided by Google News

Graphics Processing Units (GPU) Database Market Demand & Future Scope Including Top Players and Forecast 2027 – The Manomet Current
14 June 2021, The Manomet Current

Sponsored post: HPC in the cloud is changing the game for startups
25 May 2021, TechCrunch

GPU Database Market Trends And Opportunity. Latest Research Report Covering Major Players – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. – Clark County Blog
20 May 2021, Clark County Blog

Global Graphics Processing Unit Database Market Insights, Current and Future Trends & Forecast 2021-2028 – The Courier
11 June 2021, The Courier

Global Dark Analytics Market Growth Factor with Key Drivers Analysis till 2026 | IBM Corp., SAP SE, Amazon Web Services, Micro Focus, Dell EMC, Microsoft, AvePoint, Teradata and others – KSU | The Sentinel Newspaper
10 June 2021, KSU | The Sentinel Newspaper

provided by Google News

Job opportunities

Support Engineer
Microsoft, Charlotte, NC

HADOOP-Apache Spark, ETL Developer-Green Card Accepted
General Dynamics Information Technology, Alexandria, VA

Big Data Engineer (Spark/Apache) - Remote, East Coast
Piper Companies, Remote

Data Engineer Level 3
Ascendum, Cincinnati, OH

Hortonworks Administrator
nFolks Data Solutions, Austin, TX

Java Apache Camel Developer - C79099 5.4 Charlotte, NC
CapB InfoteK, Charlotte, NC

Social Media & Community Marketing Manager (Remote U.S.)
GridGain, Foster City, CA

Software Engineering
JPMorgan Chase Bank, N.A., Jersey City, NJ

23.Software Developer
Executive Software Guild (ESG), Remote

Java Developer
Citi, New York, NY

Sr. Solutions Architect
Kinetica DB, San Francisco, CA

Solutions Engineer (Pre-Sales)
Kinetica DB, San Francisco, CA

Sr. Solutions Engineer
Kinetica DB, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Present your product here