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DBMS > atoti vs. EventStoreDB vs. Google Cloud Bigtable vs. LokiJS

System Properties Comparison atoti vs. EventStoreDB vs. Google Cloud Bigtable vs. LokiJS

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Industrial-strength, open-source database solution built from the ground up for event sourcing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory JavaScript DBMS
Primary database modelObject oriented DBMSEvent StoreKey-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.43
Rank#264  Overall
#42  Document stores
Websiteatoti.iowww.eventstore.comcloud.google.com/­bigtablegithub.com/­techfort/­LokiJS
Technical documentationdocs.atoti.iodevelopers.eventstore.comcloud.google.com/­bigtable/­docstechfort.github.io/­LokiJS
DeveloperActiveViamEvent Store LimitedGoogle
Initial release201220152014
Current release21.2, February 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemsLinux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenono
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
Secondary indexesnoyes infovia views
SQL infoSupport of SQLMultidimensional Expressions (MDX)nono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresPythonnoView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
atotiEventStoreDBGoogle Cloud BigtableLokiJS
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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