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DBMS > DolphinDB vs. EXASOL vs. GRAKN.AI vs. IRONdb

System Properties Comparison DolphinDB vs. EXASOL vs. GRAKN.AI vs. IRONdb

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#252  Overall
#18  Time Series DBMS
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score0.27
Rank#249  Overall
#19  Graph DBMS
#116  Relational DBMS
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Websitewww.dolphindb.comwww.exasol.com/­en/­productsgrakn.aiwww.irondb.io
Technical documentationwww.dolphindb.com/­helpwww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.irondb.io/­docs
DeveloperDolphinDB, IncExasolGrakn Labs LtdCirconus LLC.
Initial release2018200020162017
Current release1.6.2, January 2020V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial
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 languageC++JavaC and C++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
HTTP API
Supported programming languagesC#
C++
Java
JavaScript
Python
R
Java
Lua
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoyes, in Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoby using CassandraAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progressno
More information provided by the system vendor
DolphinDBEXASOLGRAKN.AIIRONdb
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more

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DolphinDBEXASOLGRAKN.AIIRONdb
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