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DBMS > Blazegraph vs. BoltDB vs. Databricks vs. etcd vs. Hive

System Properties Comparison Blazegraph vs. BoltDB vs. Databricks vs. etcd vs. Hive

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHive  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.An embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.80
Rank#215  Overall
#31  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteblazegraph.comgithub.com/­boltdb/­boltwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
hive.apache.org
Technical documentationwiki.blazegraph.comdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperBlazegraphDatabricksApache Software Foundation infoinitially developed by Facebook
Initial release2006201320132012
Current release2.1.5, March 20193.4, August 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoGoJava
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnonoyes
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.noyesno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenowith Databricks SQLnoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
GoPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesnoyes infouser defined functions and integration of map-reduce
Triggersnonoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
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.nonono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nonoAccess rights for users, groups and roles
More information provided by the system vendor
BlazegraphBoltDBDatabricksetcdHive
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BlazegraphBoltDBDatabricksetcdHive
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