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DBMS > Apache Druid vs. Apache IoTDB vs. DolphinDB vs. eXtremeDB vs. SingleStore

System Properties Comparison Apache Druid vs. Apache IoTDB vs. DolphinDB vs. eXtremeDB vs. SingleStore

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDolphinDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDolphinDB 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.Natively in-memory DBMS with options for persistency, high-availability and clusteringMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitedruid.apache.orgiotdb.apache.orgwww.dolphindb.comwww.mcobject.comwww.singlestore.com
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.dolphindb.cn/­en/­help200/­index.htmlwww.mcobject.com/­docs/­extremedb.htmdocs.singlestore.com
DeveloperApache Software Foundation and contributorsApache Software FoundationDolphinDB, IncMcObjectSingleStore Inc.
Initial release20122018201820012013
Current release29.0.1, April 20241.1.0, April 2023v2.00.4, January 20228.2, 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infofree community version availablecommercialcommercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaC++C and C++C++, Go
Server operating systemsLinux
OS X
Unix
All OS with a Java VM (>= 1.8)Linux
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux info64 bit version required
Data schemeyes infoschema-less columns are supportedyesyesyesyes
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.nononono infosupport of XML interfaces availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query languageyes infowith the option: eXtremeSQLyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C#
C++
Java
Lua
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesyesyes
Triggersnoyesnoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioninghorizontal partitioning / shardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAdministrators, Users, GroupsFine grained access control via users, groups and roles
More information provided by the system vendor
Apache DruidApache IoTDBDolphinDBeXtremeDBSingleStore infoformer name was MemSQL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
F ree Tier and Enterprise Edition
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More resources
Apache DruidApache IoTDBDolphinDBeXtremeDBSingleStore infoformer name was MemSQL
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