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DBMS > Apache Druid vs. Datomic vs. DolphinDB vs. Manticore Search vs. Sequoiadb

System Properties Comparison Apache Druid vs. Datomic vs. DolphinDB vs. Manticore Search vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB 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.Multi-storage database for search, including full-text search.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitedruid.apache.orgwww.datomic.comwww.dolphindb.commanticoresearch.comwww.sequoiadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmlmanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation and contributorsCognitectDolphinDB, IncManticore SoftwareSequoiadb Ltd.
Initial release20122012201820172013
Current release29.0.1, April 20241.0.6735, June 2023v2.00.4, January 20226.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freecommercial infofree community version availableOpen Source infoGPL version 2Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++C++C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infooid, date, timestamp, binary, regex
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.nononoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesuser defined functionsJavaScript
TriggersnoBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peershorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersyesSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesyes infoisolated transactions for atomic changes and binary logging for safe writesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAdministrators, Users, Groupsnosimple password-based access control

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More resources
Apache DruidDatomicDolphinDBManticore SearchSequoiadb
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