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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  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.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelObject oriented DBMSEvent StoreKey-value store
Wide column store
Object oriented DBMS
Secondary database modelsTime Series DBMS
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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteatoti.iowww.eventstore.comcloud.google.com/­bigtableobjectbox.io
Technical documentationdocs.atoti.iodevelopers.eventstore.comcloud.google.com/­bigtable/­docsdocs.objectbox.io
DeveloperActiveViamEvent Store LimitedGoogleObjectBox Limited
Initial release201220152017
Current release21.2, February 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen SourcecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsLinux
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Data schemeschema-freeyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresPythonnono
Triggersnono
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 zonesonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
atotiEventStoreDBGoogle Cloud BigtableObjectBox
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atotiEventStoreDBGoogle Cloud BigtableObjectBox
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