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DBMS > Apache Doris vs. Google Cloud Datastore vs. ObjectBox vs. TimesTen

System Properties Comparison Apache Doris vs. Google Cloud Datastore vs. ObjectBox vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformExtremely fast embedded database for small devices, IoT and MobileIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSDocument storeObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­datastoreobjectbox.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­datastore/­docsdocs.objectbox.iodocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation, originally contributed from BaiduGoogleObjectBox LimitedOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017200820171998
Current release1.2.2, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsLinuxhostedAndroid
iOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyes
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsusing Google App EnginenoPL/SQL
TriggersnoCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisGoogle Cloud DatastoreObjectBoxTimesTen
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More resources
Apache DorisGoogle Cloud DatastoreObjectBoxTimesTen
Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

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Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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