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DBMS > atoti vs. DolphinDB vs. Hazelcast

System Properties Comparison atoti vs. DolphinDB vs. Hazelcast

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolphinDB  Xexclude from comparisonHazelcast  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.A widely adopted in-memory data grid
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Websiteatoti.iowww.dolphindb.comhazelcast.com
Technical documentationdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.htmlhazelcast.org/­imdg/­docs
DeveloperActiveViamDolphinDB, IncHazelcast
Initial release20182008
Current releasev2.00.4, January 20225.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
Windows
All OS with a Java VM
Data schemeyesschema-free
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.noyes infothe object must implement a serialization strategy
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-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
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresPythonyesyes infoEvent Listeners, Executor Services
Triggersnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commited
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.yesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsRole-based access control

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atotiDolphinDBHazelcast
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