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DBMS > Apache Doris vs. Derby vs. Google BigQuery vs. Google Cloud Datastore

System Properties Comparison Apache Doris vs. Derby vs. Google BigQuery vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Large scale data warehouse service with append-only tablesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
db.apache.org/­derbycloud.google.com/­bigquerycloud.google.com/­datastore
Technical documentationgithub.com/­apache/­doris/­wikidb.apache.org/­derby/­manuals/­index.htmlcloud.google.com/­bigquery/­docscloud.google.com/­datastore/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationGoogleGoogle
Initial release2017199720102008
Current release1.2.2, February 202310.17.1.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VMhostedhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details here
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesyesSQL-like query language (GQL)
APIs and other access methodsJDBC
MySQL client
JDBCRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesJavaJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresuser defined functions infoin JavaScriptusing Google App Engine
TriggersnoyesnoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynoyesnoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache DorisDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGoogle BigQueryGoogle Cloud Datastore
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