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DBMS > Apache Doris vs. Google Cloud Firestore vs. OrigoDB vs. QuestDB

System Properties Comparison Apache Doris vs. Google Cloud Firestore vs. OrigoDB vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A fully ACID in-memory object graph databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSDocument storeDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
firebase.google.com/­products/­firestoreorigodb.comquestdb.io
Technical documentationgithub.com/­apache/­doris/­wikifirebase.google.com/­docs/­firestoreorigodb.com/­docsquestdb.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGoogleRobert Friberg et alQuestDB Technology Inc
Initial release201720172009 infounder the name LiveDB2014
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java (Zero-GC), C++, Rust
Server operating systemsLinuxhostedLinux
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnonoSQL with time-series extensions
APIs and other access methodsJDBC
MySQL client
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyesno
Triggersnoyes, with Cloud Functionsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped files
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. Security Rules for 3rd party authentication using Firebase Auth.Role based authorization
More information provided by the system vendor
Apache DorisGoogle Cloud FirestoreOrigoDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Apache DorisGoogle Cloud FirestoreOrigoDBQuestDB
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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
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How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
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Apache Doris just 'graduated': Why care about this SQL data warehouse
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Google's Cloud Firestore is now generally available
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