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DBMS > Blazegraph vs. EventStoreDB vs. Hive vs. Riak TS

System Properties Comparison Blazegraph vs. EventStoreDB vs. Hive vs. Riak TS

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHive  Xexclude from comparisonRiak TS  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.data warehouse software for querying and managing large distributed datasets, built on HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMS
RDF store
Event StoreRelational DBMSTime Series 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteblazegraph.comwww.eventstore.comhive.apache.org
Technical documentationwiki.blazegraph.comdevelopers.eventstore.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperBlazegraphEvent Store LimitedApache Software Foundation infoinitially developed by FacebookOpen Source, formerly Basho Technologies
Initial release2006201220122015
Current release2.1.5, March 201921.2, February 20213.1.3, April 20223.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen SourceOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlang
Server operating systemsLinux
OS X
Windows
Linux
Windows
All OS with a Java VMLinux
OS X
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesno
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.no
Secondary indexesyesyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes, limited
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and rolesno

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More resources
BlazegraphEventStoreDBHiveRiak TS
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