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DBMS > atoti vs. BoltDB vs. DolphinDB vs. SWC-DB

System Properties Comparison atoti vs. BoltDB vs. DolphinDB vs. SWC-DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.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 high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSKey-value storeTime Series DBMS
Vector DBMS
Wide column store
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.70
Rank#225  Overall
#31  Key-value stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Websiteatoti.iogithub.com/­boltdb/­boltwww.dolphindb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.html
DeveloperActiveViamDolphinDB, IncAlex Kashirin
Initial release201320182020
Current releasev2.00.4, January 20220.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT Licensecommercial infofree community version availableOpen Source infoGPL V3
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 languageJavaGoC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol
Thrift
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Server-side scripts infoStored proceduresPythonnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoAdministrators, Users, Groups

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More resources
atotiBoltDBDolphinDBSWC-DB infoSuper Wide Column Database
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