DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Search Appliance vs. Hive vs. IRONdb vs. RDF4J

System Properties Comparison Google Search Appliance vs. Hive vs. IRONdb vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelSearch engineRelational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score84.22
Rank#14  Overall
#9  Relational DBMS
Score0.05
Rank#328  Overall
#27  Time Series DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlhive.apache.orgwww.irondb.iordf4j.org
Technical documentationsupport.google.com/­gsacwiki.apache.org/­confluence/­display/­Hive/­Homewww.irondb.io/­docsdocs.rdf4j.org
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2002201220172004
Current release3.1.2, August 2019V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageJavaC and C++Java
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
Thrift
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in Luayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factorconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users, groups and rolesnono
More information provided by the system vendor
Google Search ApplianceHiveIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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 partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

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

More resources
Google Search ApplianceHiveIRONdbRDF4J infoformerly known as Sesame
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

the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

So Long Google Search Appliance
4 February 2016, Fortune

Elastic Is Looking a Lot Like Google 10 Years Ago
10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

provided by Google News

Databricks Bags Bricks of Cash in $400M Series F
23 October 2019, SDxCentral

Orchestrate big data workflows with Apache Airflow, Genie, and Amazon EMR: Part 1
26 October 2019, idk.dev

Qubole Releases New Capabilities to Ensure Financial Discipline and Data Privacy
13 November 2019, Yahoo Finance

Return of the Living Data
31 October 2019, Datanami

Delta Lake Project Raises Linux Foundation Flag
17 October 2019, SDxCentral

provided by Google News

Circonus Releases Machine Data Intelligence Solution
30 October 2019, Database Trends and Applications

Circonus launches machine data intelligence platform
29 October 2019, SDTimes.com

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Job opportunities

eComm Channel Merchandiser, Zoro
Zoro Tools, Chicago, IL

Principal Middleware Automation Engineer
Discover Financial Services, Riverwoods, IL

Lead Middleware Engineer
Discover Financial Services, Riverwoods, IL

IT Architect
New York City DEPT OF INFO TECH & TELECOMM, Brooklyn, NY

Cloud Support Associate – Windows
Amazon Web Services, Inc., Herndon, VA

Data Analyst
CapTech Consulting, Philadelphia, PA

Assistant Vice President
Deutsche Bank, New York, NY

Associate, TECH4519298
Goldman Sachs, New York, NY

Senior Software Engineer - Data Engineering
Clicktripz, Manhattan Beach, CA

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Neo4j logo

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

Couchbase logo

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

Present your product here