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DBMS > atoti vs. Databend vs. DolphinDB

System Properties Comparison atoti vs. Databend vs. DolphinDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabend  Xexclude from comparisonDolphinDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDolphinDB 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.
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Websiteatoti.iogithub.com/­datafuselabs/­databend
www.databend.com
www.dolphindb.com
Technical documentationdocs.atoti.iodocs.databend.comdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperActiveViamDatabend LabsDolphinDB, Inc
Initial release20212018
Current release1.0.59, April 2023v2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercial infofree community version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++
Server operating systemshosted
Linux
macOS
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresPythonnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAdministrators, Users, Groups

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More resources
atotiDatabendDolphinDB
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