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DBMS > AllegroGraph vs. Dragonfly vs. GBase vs. TimescaleDB

System Properties Comparison AllegroGraph vs. Dragonfly vs. GBase vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDragonfly  Xexclude from comparisonGBase  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteallegrograph.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gbase.cnwww.timescale.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.dragonflydb.io/­docsdocs.timescale.com
DeveloperFranz Inc.DragonflyDB team and community contributorsGeneral Data Technology Co., Ltd.Timescale
Initial release2004202320042017
Current release8.0, December 20231.0, March 2023GBase 8a, GBase 8s, GBase 8c2.15.0, May 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyes infoRDF schemasscheme-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infobulk load of XML files possiblenoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoStandard with numerous extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
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
C#.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispLuauser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyespublish/subscribe channels provide some trigger functionalityyesyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning (by range, list and hash) and vertical partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPassword-based authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDragonflyGBaseTimescaleDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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