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DBMS > Blazegraph vs. Elasticsearch vs. GigaSpaces vs. LevelDB

System Properties Comparison Blazegraph vs. Elasticsearch vs. GigaSpaces vs. LevelDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLevelDB  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelGraph DBMS
RDF store
Search engineDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteblazegraph.comwww.elastic.co/­elasticsearchwww.gigaspaces.comgithub.com/­google/­leveldb
Technical documentationwiki.blazegraph.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperBlazegraphElasticGigaspaces TechnologiesGoogle
Initial release2006201020002011
Current release2.1.5, March 20198.6, January 202315.5, September 20201.23, February 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesno
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 infoXML can be used for describing objects metadatano
Secondary indexesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-99 for query and DML statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesyesyesno
Triggersnoyes infoby using the 'percolation' featureyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlno

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More resources
BlazegraphElasticsearchGigaSpacesLevelDB
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