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DBMS > AllegroGraph vs. Graphite vs. Kdb vs. QuestDB

System Properties Comparison AllegroGraph vs. Graphite vs. Kdb vs. QuestDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGraphite  Xexclude from comparisonKdb  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHigh performance Time Series DBMSA high performance open source SQL database for time series data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websiteallegrograph.comgithub.com/­graphite-project/­graphite-webkx.comquestdb.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgraphite.readthedocs.iocode.kx.comquestdb.io/­docs
DeveloperFranz Inc.Chris DavisKx Systems, a division of First Derivatives plcQuestDB Technology Inc
Initial release200420062000 infokdb was released 2000, kdb+ in 20032014
Current release8.0, December 20233.6, May 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonqJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
Linux
Unix
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyes infoRDF schemasyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 possiblenoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (q)SQL with time-series extensions
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP API
Sockets
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsno
Triggersyesnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonehorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.noyesyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnorights management via user accounts
More information provided by the system vendor
AllegroGraphGraphiteKdbQuestDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphGraphiteKdbQuestDB
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