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DBMS > BigObject vs. Datomic vs. Dragonfly vs. HugeGraph

System Properties Comparison BigObject vs. Datomic vs. Dragonfly vs. HugeGraph

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitebigobject.iowww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.bigobject.iodocs.datomic.comwww.dragonflydb.io/­docshugegraph.apache.org/­docs
DeveloperBigObject, Inc.CognitectDragonflyDB team and community contributorsBaidu
Initial release2015201220232018
Current release1.0.7075, December 20231.0, March 20230.9
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, 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)
All OS with a Java VMLinuxLinux
macOS
Unix
Data schemeyesyesscheme-freeyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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 indexesyesyesnoyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Groovy
Java
Python
Server-side scripts infoStored proceduresLuayes infoTransaction FunctionsLuaasynchronous Gremlin script jobs
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyes 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 controlnonoPassword-based authenticationUsers, roles and permissions

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More resources
BigObjectDatomicDragonflyHugeGraph
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