DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hive vs. InfinityDB vs. Prometheus vs. TinkerGraph

System Properties Comparison Hive vs. InfinityDB vs. Prometheus vs. TinkerGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceOpen-source TimeSeries DBMS and monitoring systemA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.45
Rank#15  Overall
#10  Relational DBMS
Score0.04
Rank#326  Overall
#51  Key-value stores
Score6.27
Rank#62  Overall
#3  Time Series DBMS
Score0.12
Rank#306  Overall
#29  Graph DBMS
Websitehive.apache.orgboilerbay.comprometheus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.
Initial release2012200220152009
Current release3.1.2, August 20194.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP/JSON APITinkerPop 3
Supported programming languagesC++
Java
PHP
Python
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnonenone
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnonono

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
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
HiveInfinityDBPrometheusTinkerGraph
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 introduces Hive metadata migration to Databricks
24 May 2021, TechTarget

Hive View security camera customers left in the dark as some gear gives up the ghost
24 January 2022, The Register

Top 10 Apache projects in 2021, from Superset, to NuttX and Pulsar
5 January 2022, The Stack

Open-Source Database Software Market to Witness Growth Acceleration During 2022-2029 – The Oxford Spokesman
24 January 2022, The Oxford Spokesman

The Zacks Analyst Blog Highlights: Microsoft, Workiva, MongoDB and Datadog
27 December 2021, Nasdaq

provided by Google News

How to install Prometheus in Debian 11 2022 Tip
19 January 2022, BollyInside

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

How to install Prometheus in Debian 11 or Ubuntu 20.04
4 January 2022, Linux Shout

Will Grafana Become Easier to Use in 2022? – The New Stack
6 January 2022, thenewstack.io

Companies Drowning in Observability Data, Dynatrace Says
21 January 2022, Datanami

provided by Google News

Job opportunities

Big Data Apache Hadoop / Spark
Synergy Global Technologies Inc., Dearborn, MI

Big Data Engineer
Kalven Technologies, Remote

Hadoop Bigdata Developer
CitiusTech, Remote

Data Engineer Consultant (Airflow, SQL, Python & Hive, Presto, Spark)
Anectotal LLC, Remote

Hadoop Engineer
Digital Dhara LLC, Jacksonville, FL

Observability Engineering/Development position
Citi, Irving, TX

Sr Cloud Engineer
Adobe, Lehi, UT

Observability Onboarding /Analytics
Citi, Irving, TX

Lead Engineer - Observability
Live Nation, Hollywood, CA

DevOps Engineer
Surescripts, LLC, Beaverton, OR

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Present your product here