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DBMS > Blazegraph vs. Google BigQuery vs. Heroic vs. SAP HANA vs. Solr

System Properties Comparison Blazegraph vs. Google BigQuery vs. Heroic vs. SAP HANA vs. Solr

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonSAP HANA  Xexclude from comparisonSolr  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Large scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchIn-memory, column based data store. Available as appliance or cloud serviceA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteblazegraph.comcloud.google.com/­bigquerygithub.com/­spotify/­heroicwww.sap.com/­products/­hana.htmlsolr.apache.org
Technical documentationwiki.blazegraph.comcloud.google.com/­bigquery/­docsspotify.github.io/­heroichelp.sap.com/­hanasolr.apache.org/­resources.html
DeveloperBlazegraphGoogleSpotifySAPApache Software Foundation
Initial release20062010201420102006
Current release2.1.5, March 20192.0 SPS07 (April 4, 2023), April 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedAppliance or cloud-serviceAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesnoyes infovia Elasticsearchyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageyesnoyesSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptnoSQLScript, RJava plugins
Triggersnononoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesyes

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More resources
BlazegraphGoogle BigQueryHeroicSAP HANASolr
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