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DBMS > Blazegraph vs. Hive vs. YugabyteDB

System Properties Comparison Blazegraph vs. Hive vs. YugabyteDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHive  Xexclude from comparisonYugabyteDB  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.data warehouse software for querying and managing large distributed datasets, built on HadoopHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score3.21
Rank#103  Overall
#53  Relational DBMS
Websiteblazegraph.comhive.apache.orgwww.yugabyte.com
Technical documentationwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperBlazegraphApache Software Foundation infoinitially developed by FacebookYugabyte Inc.
Initial release200620122017
Current release2.1.5, March 20193.1.3, April 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Data schemeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes, PostgreSQL compatible
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and rolesyes
More information provided by the system vendor
BlazegraphHiveYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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BlazegraphHiveYugabyteDB
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