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DBMS > Apache Druid vs. Blazegraph vs. GigaSpaces

System Properties Comparison Apache Druid vs. Blazegraph vs. GigaSpaces

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBlazegraph  Xexclude from comparisonGigaSpaces  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.87
Rank#106  Overall
#54  Relational DBMS
#6  Time Series DBMS
Score0.85
Rank#188  Overall
#17  Graph DBMS
#8  RDF stores
Score0.96
Rank#178  Overall
#30  Document stores
#7  Object oriented DBMS
Websitedruid.apache.orgblazegraph.comwww.gigaspaces.com
Technical documentationdruid.apache.org/­docs/­latest/­designwiki.blazegraph.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software Foundation and contributorsBlazegraphGigaspaces Technologies
Initial release201220062000
Current release0.22.1, December 20212.1.5, March 201915.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoextended commercial license availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .Net
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
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 metadata
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingSPARQL is used as query languageSQL-99 for query and DML statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access control
More information provided by the system vendor
Apache DruidBlazegraphGigaSpaces
Specific characteristicsGigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more
Competitive advantages​ AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more
Typical application scenariosApplication Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more
Key customersMorgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more
Market metricsForrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more
Licensing and pricing modelsGigaSpaces offers both open source and commercial editions with annual subscriptions....
» more

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Apache DruidBlazegraphGigaSpaces
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