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DBMS > HugeGraph vs. Infobright vs. Riak TS vs. SQL.JS vs. SQLite

System Properties Comparison HugeGraph vs. Infobright vs. Riak TS vs. SQL.JS vs. SQLite

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfobright  Xexclude from comparisonRiak TS  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVPort of SQLite to JavaScriptWidely used embeddable, in-process RDBMS
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
ignitetech.com/­softwarelibrary/­infobrightdbsql.js.orgwww.sqlite.org
Technical documentationhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsql.js.org/­documentation/­index.htmlwww.sqlite.org/­docs.html
DeveloperBaiduIgnite Technologies Inc.; formerly InfoBright Inc.Open Source, formerly Basho TechnologiesAlon Zakai infoenhancements implemented by othersDwayne Richard Hipp
Initial release20182005201520122000
Current release0.93.0.0, September 20223.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open SourceOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCErlangJavaScriptC
Server operating systemsLinux
macOS
Unix
Linux
Windows
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeyesyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyesyes infonot rigid because of 'dynamic typing' concept.
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.nonononono
Secondary indexesyes infoalso supports composite index and range indexno infoKnowledge Grid Technology used insteadrestrictedyes
SQL infoSupport of SQLnoyesyes, limitedyes infoSQL-92 is not fully supportedyes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
JavaScript APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGroovy
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoErlangnono
Triggersnonoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphnono infolinks between datasets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnonono

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More resources
HugeGraphInfobrightRiak TSSQL.JSSQLite
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