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DBMS > Apache IoTDB vs. Brytlyt vs. DolphinDB vs. Graph Engine vs. GridGain

System Properties Comparison Apache IoTDB vs. Brytlyt vs. DolphinDB vs. Graph Engine vs. GridGain

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteiotdb.apache.orgbrytlyt.iowww.dolphindb.comwww.graphengine.iowww.gridgain.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.html
DeveloperApache Software FoundationBrytlytDolphinDB, IncMicrosoftGridGain Systems, Inc.
Initial release20182016201820102007
Current release1.1.0, April 20235.0, August 2023v2.00.4, January 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community version availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC++.NET and CJava, C++, .Net
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
Windows
.NETLinux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languagenoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyesyesyes (compute grid and cache interceptors can be used instead)
Triggersyesyesnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAdministrators, Users, GroupsSecurity Hooks for custom implementations

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More resources
Apache IoTDBBrytlytDolphinDBGraph Engine infoformer name: TrinityGridGain
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