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DBMS > Apache Doris vs. GeoMesa vs. Google Cloud Firestore vs. STSdb

System Properties Comparison Apache Doris vs. GeoMesa vs. Google Cloud Firestore vs. STSdb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud 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.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSSpatial DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.geomesa.orgfirebase.google.com/­products/­firestoregithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­apache/­doris/­wikiwww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestore
DeveloperApache Software Foundation, originally contributed from BaiduCCRi and othersGoogleSTS Soft SC
Initial release2017201420172011
Current release1.2.2, February 20235.0.0, May 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#
Server operating systemsLinuxhostedWindows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBC
MySQL client
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud Functionsno
Triggersnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
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.nodepending on storage layer
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Apache DorisGeoMesaGoogle Cloud FirestoreSTSdb
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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

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

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24 June 2022, InfoWorld

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