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DBMS > atoti vs. Dgraph vs. EventStoreDB

System Properties Comparison atoti vs. Dgraph vs. EventStoreDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDgraph  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed and scalable native Graph DBMSIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelObject oriented DBMSGraph DBMSEvent Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score1.14
Rank#181  Overall
#1  Event Stores
Websiteatoti.iodgraph.iowww.eventstore.com
Technical documentationdocs.atoti.iodgraph.io/­docsdevelopers.eventstore.com
DeveloperActiveViamDgraph Labs, Inc.Event Store Limited
Initial release20162012
Current release21.2, February 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source
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 languageJavaGo
Server operating systemsLinux
OS X
Windows
Linux
Windows
Data schemeschema-free
Typing infopredefined data types such as float or dateyes
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 indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoPlanned for future releases

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More resources
atotiDgraphEventStoreDB
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