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DBMS > atoti vs. DolphinDB vs. EventStoreDB vs. Prometheus

System Properties Comparison atoti vs. DolphinDB vs. EventStoreDB vs. Prometheus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolphinDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DolphinDB 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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Open-source Time Series DBMS and monitoring system
Primary database modelObject oriented DBMSTime Series DBMSEvent StoreTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteatoti.iowww.dolphindb.comwww.eventstore.comprometheus.io
Technical documentationdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.htmldevelopers.eventstore.comprometheus.io/­docs
DeveloperActiveViamDolphinDB, IncEvent Store Limited
Initial release201820122015
Current releasev2.00.4, January 202221.2, February 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community version availableOpen SourceOpen Source infoApache 2.0
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 languageJavaC++Go
Server operating systemsLinux
Windows
Linux
Windows
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPythonyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
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.yesyesno
User concepts infoAccess controlAdministrators, Users, Groupsno

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More resources
atotiDolphinDBEventStoreDBPrometheus
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