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DBMS > Google Search Appliance vs. Grakn vs. GraphDB vs. JanusGraph vs. RRDtool

System Properties Comparison Google Search Appliance vs. Grakn vs. GraphDB vs. JanusGraph vs. RRDtool

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelSearch engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
RDF store
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#95  Overall
#11  Search engines
Score0.49
Rank#207  Overall
#17  Graph DBMS
#100  Relational DBMS
Score1.18
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score1.79
Rank#120  Overall
#7  Graph DBMS
Score2.71
Rank#94  Overall
#5  Time Series DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlgrakn.aigraphdb.ontotext.comjanusgraph.orgoss.oetiker.ch/­rrdtool
Technical documentationsupport.google.com/­gsadev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgoss.oetiker.ch/­rrdtool/­doc
DeveloperGoogleGrakn LabsOntotextLinux Foundation; originally developed as Titan by AureliusTobias Oetiker
Initial release20022016200020171999
Current release1.6.2, January 20208.8, January 20190.5.0, March 20201.7.2, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nonononono infoExporting into and restoring from XML files possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLnonoSPARQL is used as query languagenono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
in-process shared library
Pipes
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Server Pluginyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoby using CassandraMaster-master replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUser authentication via various security protocolsyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
Google Search ApplianceGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanRRDtool
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

Drug Discovery Knowledge Graphs
7 June 2019

Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications
19 March 2020

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 
6 March 2020

Crafting a Knowledge Graph: The Semantic Data Modeling Way
20 February 2020

How Computer Vision Technology Can Bring Smart Surveillance to Retail    
6 February 2020

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Search ApplianceGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanRRDtool
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Conferences and events

GraphDB 9.1: Knowledge Graphs with Data Provenance
Webinar, 2 March 2020 (finished)

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

Recent citations in the news

Google: We Have No Mechanism To Block Indexing Parts Of Pages
12 March 2020, Search Engine Roundtable

So Long Google Search Appliance
4 February 2016, Fortune

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

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

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

provided by Google News

Get Started With GRAKN.AI
10 March 2017, DZone News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

What Is an Ontology?
15 March 2017, DZone News

15 Machine Learning Companies To Watch In Europe
27 November 2018, Forbes

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB Goes Open Source
27 January 2020, iProgrammer

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

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

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

provided by Google News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

What & why: Graph machine learning in distributed systems
16 March 2020, Ericsson

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

Benchmarking Graph Analytics Systems: TigerGraph, Neo4j, Neptune, JanusGraph, and ArangoDB
8 May 2019, Database Trends and Applications

provided by Google News

Bare-Bones Monitoring with Monit and RRDtool
21 March 2019, Linux Journal

How to install and use RRDTool to speed up MRTG monitoring
24 June 2009, SearchDataCenter.com

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

The 13 Best Open Source Network Monitoring Tools
29 August 2019, Solutions Review

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