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DBMS > atoti vs. DolphinDB vs. FatDB vs. Firebolt

System Properties Comparison atoti vs. DolphinDB vs. FatDB vs. Firebolt

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonFirebolt  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Highly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelObject oriented DBMSTime Series DBMSDocument store
Key-value store
Relational 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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websiteatoti.iowww.dolphindb.comwww.firebolt.io
Technical documentationdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.htmldocs.firebolt.io
DeveloperActiveViamDolphinDB, IncFatCloudFirebolt Analytics Inc.
Initial release201820122020
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsLinux
Windows
Windowshosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageno infoVia inetgration in SQL Serveryes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.Net
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonyesyes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factordepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
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.yesyes
User concepts infoAccess controlAdministrators, Users, Groupsno infoCan implement custom security layer via applications

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atotiDolphinDBFatDBFirebolt
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