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

DBMS > Graphite vs. Hive vs. Microsoft Azure AI Search vs. VoltDB

System Properties Comparison Graphite vs. Hive vs. Microsoft Azure AI Search vs. VoltDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisperdata warehouse software for querying and managing large distributed datasets, built on HadoopSearch-as-a-service for web and mobile app developmentDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webhive.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.voltdb.com
Technical documentationgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-us/­azure/­searchdocs.voltdb.com
DeveloperChris DavisApache Software Foundation infoinitially developed by FacebookMicrosoftVoltDB Inc.
Initial release2006201220152010
Current release3.1.3, April 2022V111.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJava, C++
Server operating systemsLinux
Unix
All OS with a Java VMhostedLinux
OS X infofor development
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API
Sockets
JDBC
ODBC
Thrift
RESTful HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJavaScript (Node.js)
Python
C++
Java
PHP
Python
C#
Java
JavaScript
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights for users, groups and rolesyes infousing Azure authenticationUsers and roles with access to stored procedures

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
GraphiteHiveMicrosoft Azure AI SearchVoltDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, 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

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

The value of time series data and TSDBs
10 June 2021, InfoWorld

Getting Started with Infrastructure Monitoring
11 September 2023, The New Stack

Top 10 open-source application monitoring tools
13 June 2017, TechGenix

provided by Google News

Apache Software Foundation Announces Apache Hive 4.0
30 April 2024, Datanami

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

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

Elevate Your Career with In-Demand Hadoop Skills in 2024
1 May 2024, Simplilearn

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

provided by Google News

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Bring your data to Copilot for Microsoft 365 with .NET plugins and Azure AI Search
29 February 2024, Microsoft

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

Microsoft Azure AI, data, and application innovations help turn your AI ambitions into reality
15 November 2023, Microsoft

provided by Google News

Unveiling Volt Active Data's game-changing approach to limitless app performance
16 October 2023, YourStory

 VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Turns to Real-Time Analytics with NewSQL Database
30 January 2014, Datanami

VoltDB Upgrades Power, Security of Its In-Memory Database
1 February 2017, eWeek

VoltDB Aims for Fast Big Data Development -- ADTmag
29 January 2015, ADT Magazine

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

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

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

Present your product here