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DBMS > BigObject vs. Blazegraph vs. Datomic vs. DuckDB vs. HugeGraph

System Properties Comparison BigObject vs. Blazegraph vs. Datomic vs. DuckDB vs. HugeGraph

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonDuckDB  Xexclude from comparisonHugeGraph  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAnalytic DBMS for real-time computations and queriesHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMS
RDF store
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitebigobject.ioblazegraph.comwww.datomic.comduckdb.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.bigobject.iowiki.blazegraph.comdocs.datomic.comduckdb.org/­docshugegraph.apache.org/­docs
DeveloperBigObject, Inc.BlazegraphCognitectBaidu
Initial release20152006201220182018
Current release2.1.5, March 20191.0.6735, June 20230.10, February 20240.9
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoextended commercial license availablecommercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
All OS with a Java VMserver-lessLinux
macOS
Unix
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languagenoyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Groovy
Java
Python
Server-side scripts infoStored proceduresLuayesyes infoTransaction Functionsnoasynchronous Gremlin script jobs
TriggersnonoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone infoBut extensive use of caching in the application peersnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoBut extensive use of caching in the application peersnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in Graphsnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoSecurity and Authentication via Web Application Container (Tomcat, Jetty)nonoUsers, roles and permissions

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More resources
BigObjectBlazegraphDatomicDuckDBHugeGraph
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